Information processing method and system for rail transit and electronic equipment

Abstract

The invention provides an information processing method and system for rail transit and electronic equipment, and relates to the technical field of rail transit. The method comprises the following steps: in response to a remnant monitored at a station or a first vehicle at a first moment, obtaining a target video of the remnant in a predetermined time period; analyzing the target video, and determining at least one target object having an interaction behavior with the remnant; determining at least one target station from a plurality of stations contained in the expected driving track information based on the expected driving track information of the vehicle carried by each target object; and sending the information of the remnant to the at least one target site so as to publish lost and found information of the remnant at the at least one target site.

Description

Technical Field

[0001] This disclosure relates to the field of rail transit technology, and more specifically, to an information processing method, system, and electronic device for rail transit. Background Technology

[0002] In urban rail transit systems, it is not uncommon for passengers to leave items behind in rail vehicles or stations. Currently, the recovery of lost items in rail vehicles and stations mainly relies on manual searching for owners or passively waiting for owners to inquire at lost and found points, resulting in low efficiency and probability of finding lost items. Summary of the Invention

[0003] In view of this, the present disclosure provides an information processing method, apparatus and electronic device for rail transit.

[0004] One aspect of this disclosure provides an information processing method for rail transit, comprising: in response to detecting a lost object at a station or a first vehicle at a first moment, acquiring a target video of the lost object during a predetermined time period; analyzing the target video to identify at least one target object that interacts with the lost object; determining at least one target station from a plurality of stations included in the expected travel trajectory information of the vehicles carried by each target object; and sending information about the lost object to at least one target station to publish lost and found information for the lost object at at least one target station.

[0005] According to embodiments of this disclosure, analyzing a target video to determine at least one target object that interacts with the abandoned object includes: performing a retrospective analysis of the target video to determine the time window from when the abandoned object was left behind at a second moment to when it was left behind at a first moment; and determining from the target video at least one target object that interacts with the abandoned object within the time window.

[0006] According to embodiments of this disclosure, determining at least one target object from a target video that interacts with a lost object within a time window includes: when it is determined that a first vehicle has detected a lost object, determining multiple candidate objects from the target video that interact with the lost object within a time window; determining the stations the first vehicle passes through within the time window based on the time window; and determining at least one target object from the multiple candidate objects based on the boarding and alighting information of the multiple candidate objects at the stations they pass through.

[0007] According to embodiments of this disclosure, the method further includes: obtaining the target disembarkation station of each of the multiple candidate objects from the ticketing system based on the seat information of the multiple candidate objects; and determining the boarding and alighting information of the multiple candidate objects at the stations along the route based on the matching relationship between the target disembarkation station of each of the multiple candidate objects and the stations along the route.

[0008] According to embodiments of this disclosure, the method further includes: when it is determined that a lost object has been detected at the station, identifying the target object and determining the target object's identity information; and obtaining the expected driving trajectory information of the vehicle carried by each target object from the ticketing system based on the identity information of each target object.

[0009] According to embodiments of this disclosure, determining at least one target station from a plurality of stations included in the expected driving trajectory information includes: if it is determined that a station has detected debris, selecting at least one station following the station from the plurality of stations included in the expected driving trajectory information as the target station.

[0010] According to embodiments of this disclosure, determining at least one target station from a plurality of stations in the expected driving trajectory information further includes: determining the first position of the first vehicle at a first moment when it is determined that the first vehicle has detected a remnant; and designating at least one station in the plurality of stations included in the expected driving trajectory information that is prior to the first position as the target station.

[0011] According to embodiments of this disclosure, the method further includes: if it is determined that the target object has changed to a second vehicle, sending information about the abandoned item to the second vehicle so as to publish lost and found information about the abandoned item on the second vehicle.

[0012] Another aspect of this disclosure provides an information processing system for rail transit, comprising: a first acquisition module, configured to acquire target video of the lost object during a predetermined time period in response to the detection of a lost object at a station or a first vehicle at a first moment; an analysis module, configured to analyze the target video to determine at least one target object that interacts with the lost object; a second acquisition module, configured to acquire expected travel trajectory information of the vehicles carried by each target object from a ticketing system; a determination module, configured to determine at least one target station from a plurality of stations included in the expected travel trajectory information based on the expected travel trajectory information; and a sending module, configured to send information about the lost object to at least one target station to publish lost and found information for the lost object at at least one target station.

[0013] Another aspect of this disclosure provides an electronic device comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the methods described above.

[0014] Another aspect of this disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are used to implement the methods described above.

[0015] Another aspect of this disclosure provides a computer program product including computer-executable instructions that, when executed, are used to implement the methods described above.

[0016] According to embodiments of this disclosure, by real-time monitoring of lost items at stations or in vehicles, when lost items are discovered, potential target objects can be quickly identified through target video. Then, based on the expected driving trajectory information of the vehicle carrying the target object, the target station for publishing lost and found information about the lost items can be determined. This allows for the rapid location of potential locations where the target object may appear, making it easier for the target object to learn about the lost items in a timely manner, thereby improving the efficiency and success rate of recalling lost items. Attached Figure Description

[0017] The above and other objects, features and advantages of this disclosure will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0018] Figure 1 A schematic diagram illustrating a system architecture of an information processing method for rail transit according to an embodiment of the present disclosure is shown.

[0019] Figure 2 A flowchart illustrating an information processing method for rail transit according to an embodiment of the present disclosure is shown schematically.

[0020] Figure 3 A flowchart illustrating a method for determining a target object according to an embodiment of the present disclosure is shown schematically;

[0021] Figure 4 A block diagram of an information processing system for rail transit according to an embodiment of the present disclosure is shown schematically.

[0022] Figure 5 A block diagram of an electronic device suitable for implementing an information processing method for rail transit, according to an embodiment of the present disclosure, is shown schematically. Detailed Implementation

[0023] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0024] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0025] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0026] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0027] In the embodiments disclosed herein, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of data (e.g., including but not limited to user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures have been taken to prevent unauthorized access to user personal information data and to safeguard user personal information security, network security, and national security.

[0028] In the embodiments disclosed herein, user authorization or consent is obtained before acquiring or collecting user personal information.

[0029] Figure 1 A schematic diagram illustrating a system architecture of an information processing method for rail transit according to an embodiment of the present disclosure is provided.

[0030] like Figure 1 As shown, the system architecture diagram of the information processing method for rail transit in this embodiment includes a vehicle video monitoring unit 110, a station video monitoring unit 120, a ground service unit 130, and a lost and found unit 140.

[0031] The vehicle video monitoring unit 110 may include n camera devices, such as the first camera device 111 to the nth camera device 112, which can monitor the items left in the vehicle in real time and send the monitoring data to the ground service unit 130.

[0032] The station video surveillance unit 120 may include m camera devices, from the first camera device to the mth camera device 113, which can monitor the items left behind in the station in real time and send the monitoring data to the ground service unit 130.

[0033] Ground service unit 130 can analyze the received monitoring data to determine the potential target of the lost item and the target station or vehicle that the target item may arrive at. It then sends the lost item information to lost item collection unit 140.

[0034] The lost and found unit 140 may include a station lost and found sub-unit 141 and a vehicle lost and found sub-unit 142. The station lost and found sub-unit 141 publishes lost and found information through the station passenger information display platform or broadcast terminal. The vehicle lost and found sub-unit 142 can publish lost and found information through the vehicle passenger display platform or the vehicle broadcast terminal.

[0035] It should be understood that Figure 1 The number of vehicle video surveillance units, station video surveillance units, and lost and found units shown is merely illustrative. Depending on implementation needs, any number of vehicle video surveillance units, station video surveillance units, and lost and found units can be included.

[0036] Figure 2 A flowchart illustrating an information processing method for rail transit according to an embodiment of the present disclosure is shown schematically.

[0037] like Figure 2 As shown, the method includes operations S210 to S240.

[0038] When operating S210, in response to the detection of abandoned objects at the station or in the first vehicle at the first moment, target video of the abandoned objects during a predetermined time period is acquired.

[0039] In operation S220, the target video is analyzed to identify at least one target object that interacts with the abandoned object.

[0040] In operation S230, based on the expected driving trajectory information of the vehicles carried by each target object, at least one target station is determined from the multiple stations included in the expected driving trajectory information.

[0041] In operation S240, information about the lost item is sent to at least one target site to publish lost and found information about the lost item at at least one target site.

[0042] The method of this disclosure can be applied to rail vehicle scenarios, where the first vehicle can be, for example, a high-speed rail, a train, or other rail vehicle.

[0043] Cameras installed inside the train carriages can be used to monitor passengers and belongings in real time. Surveillance cameras can also be installed in various areas of the station, using image recognition technology to monitor passengers and belongings in real time on platforms, in concourses, and access passages. When lost items are found, the time and location of their appearance can be recorded.

[0044] For example, the first moment refers to the moment when the monitoring system confirms that the item is abandoned. The first moment can be defined as the point in time when the monitoring equipment captures an item remaining unattended for more than a preset period of time. For instance, if an item remains unattended for more than 10 or 15 minutes, it is determined to be abandoned.

[0045] For example, deep learning algorithms can be used to analyze surveillance video frames to identify the type of abandoned items (such as backpacks, mobile phones, etc.) and mark the timestamp of the frame as the first moment. Action recognition algorithms can then be used to extract the interaction features between the passenger and the abandoned items, generating a preliminary matching list of abandoned items and associated passengers.

[0046] The target video for the predetermined time period can be a video that traces back a certain period of time from the first moment. For example, a video that traces back 30 minutes or 40 minutes from the first moment. This disclosure is not limited to this; it can also trace back from the first moment to the moment when at least one target object is found to be interacting with an item.

[0047] For example, multiple candidate objects can be identified by traversing each video frame in the target video. At least one target object can then be identified based on the interaction behavior between the candidate objects and the remaining object, such as moving or placing the object. Alternatively, at least one target object can be identified based on the spatial relationship between the object and the candidate objects.

[0048] If an object is found in the first vehicle, its expected travel trajectory can be directly retrieved from the ticketing system. If an object is found at a station, the station's surveillance video can be accessed to determine the vehicle the object was traveling in, and then the vehicle's expected travel trajectory can be obtained from the ticketing system.

[0049] By using the expected driving trajectory information, the stations along the route of the vehicle carrying the target object can be determined. At least one target station can be identified from the stations along the route of the vehicle, such as the passenger's drop-off station.

[0050] Information about lost items can be sent to the lost and found center at the target station. The lost and found center can then publish lost and found information about the lost items through a broadcast terminal or passenger information display platform, so that the target can quickly retrieve their lost items.

[0051] For example, a vehicle-to-ground integrated information sharing platform can be established to upload the monitoring video of the station or vehicle to the information sharing platform. The information sharing platform can be used to determine the target object and the expected driving trajectory information, determine the target station, and send the information of the lost item to the target station so that the lost and found information can be published at the target station.

[0052] According to embodiments of this disclosure, by real-time monitoring of lost items at stations or in vehicles, when lost items are discovered, potential target objects can be quickly located through target video. Then, based on the expected driving trajectory information of the vehicle carrying the target object, the target station for publishing lost and found information about the lost item can be determined. This allows for the rapid location of potential locations where the target object may appear, making it easier for users to learn about the lost item in a timely manner and improving the efficiency and success rate of recalling lost items.

[0053] According to embodiments of this disclosure, analyzing a target video to determine at least one target object that interacts with the abandoned object may include: performing a retrospective analysis of the target video to determine the time window from when the abandoned object was left behind at a second moment to when it was left behind at a first moment; and determining from the target video at least one target object that interacts with the abandoned object within the time window.

[0054] For example, the location range of the abandoned object in the video frame at the first moment can be marked. Starting from the first moment, the video frames can be traversed in reverse to determine the moment when the abandoned object first appears within that location range. This moment can be used as the second moment. In some embodiments, a period of time before this moment can also be used as the second moment to obtain the complete event of the abandoned object being left behind.

[0055] Furthermore, the period from the second moment to the first moment is used as a time window to filter passengers who approach or receive lost items during this period as candidates. Specifically, gesture estimation can be used to detect passengers' bending over and placing items, or the spatial distance (e.g., <0.5 meters) and dwell time (e.g., >3 seconds) between the person and the lost item can be analyzed to confirm the interaction behavior.

[0056] In scenarios with low foot traffic and minimal obstruction, the target object can be identified based on the interaction between the lost item and the passenger. In scenarios with high foot traffic and significant obstruction, the spatiotemporal trajectories of multiple passengers and lost items can be tracked simultaneously, and the trajectory of the lost item can be matched with the trajectories of pedestrians to filter out potential target objects for interaction.

[0057] According to embodiments of this disclosure, by locating the target video within a time window and matching the target object, the efficiency of identifying the target object can be significantly improved.

[0058] According to embodiments of this disclosure, determining at least one target object that interacts with a lost object within a time window from a target video may include: determining multiple candidate objects that interact with the lost object within a time window from the target video when it is determined that a first vehicle has detected the lost object; determining the stations that the first vehicle passes through within the time window based on the time window; and determining at least one target object from the multiple candidate objects based on the boarding and alighting information of the multiple candidate objects at the stations they pass through.

[0059] For example, video analytics techniques, such as object detection and behavior recognition algorithms, can be used to identify multiple passengers who interacted with or approached the abandoned object within a time window from the video as candidate subjects. For instance, if a video from a train station shows three people approaching and touching the abandoned object within 15 minutes of its appearance, then these three people would become candidate subjects.

[0060] Based on train timetables or GPS location data, all stations that the first train will pass through within a time window can be determined. For example, if the first train travels from station A to station B within a time window, then stations A and B are the stations the first train will pass through.

[0061] If a candidate boarded the train at a station along the route and disembarked at a subsequent station, and both their boarding and alighting times match the time window in which the lost item was lost, then that candidate can be identified as a target. For example, if a candidate boarded the train at station A and disembarked at station B, and both their boarding and alighting times match the time window, then that candidate can be identified as at least one target. If multiple candidate objects meet these conditions, then all of them can be identified as target objects.

[0062] According to embodiments of this disclosure, the scope of monitoring and analysis can be narrowed by accurately locking the time window, and then the boarding and alighting information of candidate objects at the target station can be used for secondary screening. This can effectively eliminate interference from irrelevant personnel, accurately lock the target object that has actual interaction with the lost item, and greatly improve the efficiency and accuracy of lost and found.

[0063] According to embodiments of this disclosure, when it is determined that the first vehicle has detected abandoned items, the boarding and alighting information of the target objects can also be determined in the following manner: based on the seat information of multiple candidate objects, the target alighting stations of each of the multiple candidate objects are obtained from the ticketing system; based on the matching relationship between the target alighting stations of each of the multiple candidate objects and the stations along the route, the boarding and alighting information of the multiple candidate objects at the stations along the route is determined.

[0064] For example, seating information for multiple candidate individuals can be determined from a target video. After determining the seating information, the identity and travel information of each candidate individual can be queried in the ticketing system based on the seating information. The target alighting station for each target individual can then be determined based on the travel information.

[0065] For example, if the target alighting station is one of the stations along the route, meaning the target alights at a station along the route within the time window, it can be included as one of the target alights. If a candidate alights at no station along the route within the time window, it is excluded to reduce the number of target alights.

[0066] In some embodiments, the boarding and alighting information of each candidate object in the target video at the stations along the route can be combined with the boarding and alighting information queried from the ticketing system for mutual verification to further determine the boarding and alighting information of the target object. This can improve the accuracy of the boarding and alighting information of the target object.

[0067] Figure 3 A flowchart of a method for determining a target object according to an embodiment of the present disclosure is shown.

[0068] like Figure 3 As shown, when the first vehicle detects the abandoned object 310 at the first moment, target video 320 of the abandoned object 310 during a predetermined time period is acquired. Backtracking analysis is performed on the target video 320 to determine the time window 340 from when the abandoned object 310 was left behind at the second moment to when it was left behind at the first moment. Multiple candidate objects 330 that interacted with the abandoned object within the time window are then identified from the target video 320.

[0069] Furthermore, seat information 350 of candidate passengers can be determined from the target video 320. Based on the seat information 350, the target alighting station 370 of the candidate passengers can be obtained from the ticketing system. According to the time window 340, the stations 360 that the first vehicle passes through within the time window can be determined. Based on the matching relationship between the target alighting station 370 and the stations 360, the boarding and alighting information 380 of the candidate passengers at the stations they pass through can be determined. Based on the boarding and alighting information 380 of the candidate passengers at the stations they pass through, at least one target passenger 390 can be determined from multiple candidate passengers.

[0070] Therefore, when items are found on a vehicle, the candidate objects can be identified first through the target video, and then the candidate objects can be further filtered using the boarding and alighting information of the candidate objects at the stations along the route. This can narrow down the range of target objects and improve the accuracy of target object identification.

[0071] According to embodiments of this disclosure, when it is determined that a lost object has been detected at the station, the expected driving trajectory information of the target object can be obtained by the following method: identifying the target object and determining its identity information; and obtaining the expected driving trajectory information of the vehicle carried by each target object from the ticketing system based on the identity information of each target object.

[0072] For example, facial recognition can be performed on a target object in a target video to determine the target object's identity information. This disclosure is not limited to this; the identity information of a target object can also be determined based on passenger information recorded at station turnstiles, security check systems, etc.

[0073] Based on the target's identity information, the system can extract the target's travel records from the ticketing system. These records can then be used to determine the target's train number, departure time, seat, and other information. Furthermore, based on the train's timetable and route planning data, the system can determine the vehicle's expected location and route at various times, thus obtaining the expected travel trajectory information of the vehicle carrying the target.

[0074] According to embodiments of this disclosure, after accurately identifying the target object through identity recognition technology, its travel records are obtained through an automatic ticketing system, thereby deriving the expected travel trajectory, which facilitates the rapid determination of the target station in the future.

[0075] According to embodiments of this disclosure, determining at least one target station from a plurality of stations included in the expected driving trajectory information may include: if it is determined that a station has detected a remnant, selecting at least one station following the station from the plurality of stations included in the expected driving trajectory information as the target station.

[0076] For example, if the object is found at the target station and the target person takes the first vehicle at the station, the target disembarkation station can be used as the target station. Alternatively, the stations along the target person's route can be determined from the expected travel trajectory information, and at least one station along the route and the target disembarkation station can be used as the target station.

[0077] According to embodiments of this disclosure, setting subsequent stations as target stations for publishing lost and found information can cover the actual travel range of the owner, increasing the probability of information reaching them. For example, if the owner loses their item at station A and then goes to station B, publishing information at station B can directly remind them to return to station A to retrieve it.

[0078] For example, if lost property is found at the target station and the target person is boarding the first vehicle at the station, the information about the lost property can be directly sent to the first vehicle to publish a lost and found notice for the lost property. This allows for rapid notification of the lost property to the target person.

[0079] According to embodiments of this disclosure, determining at least one target station from a plurality of stations in the expected driving trajectory information may further include: determining the first position of the first vehicle at a first moment when it is determined that the first vehicle has detected a remnant; and designating at least one station in the plurality of stations included in the expected driving trajectory information that is prior to the first position as the target station.

[0080] For example, if it is determined that the object was found on the first vehicle, it means that the target person disembarked from the first vehicle at that moment. The target person's disembarkation point can be used as the target station. Alternatively, multiple stations prior to the first location can be used as target stations to prevent incomplete coverage of the target stations due to the target person changing their ticket or disembarking early.

[0081] By designating at least one station preceding the first location as the target station, if the target has not yet left the target station, posting a lost and found notice at the target station can promptly remind the target to claim the item. If the target has already left the target station, some passengers may return to the target station to search for the lost item. Posting a lost and found notice at the target station can also help passengers determine the whereabouts of the lost item in a timely manner when they return to search.

[0082] According to embodiments of this disclosure, at least one station before the first location is used as the target station, which can cover possible drop-off points or transfer points of the target object and improve the probability of information reach.

[0083] According to embodiments of this disclosure, if it is determined that the target has changed to a second vehicle, information about the abandoned item is sent to the second vehicle so that lost and found information about the abandoned item can be published on the second vehicle.

[0084] For example, the second vehicle could also be a rail vehicle. Surveillance video of the target object at the station or transfer station can be accessed to determine whether the target object has transferred to the second vehicle. Alternatively, the ticketing system can be queried based on the target object's identity information to determine if the target object has transferred to the second vehicle.

[0085] For example, the expected trajectory information of the second vehicle can also be obtained, and a target station can be determined from multiple stations included in the expected trajectory information of the second vehicle, so as to publish lost and found information for the abandoned item at the target station.

[0086] According to embodiments of this disclosure, by synchronizing the information of lost items to a second vehicle, the new activity range of the target person after changing vehicles can be covered, so that the target person can be aware of the loss of items in a timely manner.

[0087] In some embodiments, if the station's surveillance video determines that the target person has left the station and transferred to other means of transportation, such as a bus, or entered a nearby shopping mall, the information about the lost item can be sent to the shopping mall's or the transportation's lost and found platform to publish the lost and found information on that platform.

[0088] Figure 4 A block diagram of an information processing system for rail transit according to an embodiment of the present disclosure is shown schematically.

[0089] like Figure 4 As shown, the information processing system 400 for rail transit disclosed herein includes a first acquisition module 410, an analysis module 420, a first determination module 430, and a first transmission module 440.

[0090] The first acquisition module 410 is used to acquire a target video of the abandoned object during a predetermined time period in response to the detection of the abandoned object at the station or the first vehicle at the first moment.

[0091] Analysis module 420 is used to analyze the target video and identify at least one target object that interacts with the abandoned object.

[0092] The first determining module 430 is used to determine at least one target station from multiple stations included in the expected driving trajectory information based on the expected driving trajectory information of the vehicles carried by each target object.

[0093] The first sending module 440 is used to send information about the lost item to at least one target site to publish lost and found information about the lost item at at least one target site.

[0094] According to embodiments of this disclosure, the analysis module 420 includes an analysis submodule and a first determination submodule.

[0095] The analysis submodule is used to perform retrospective analysis on the target video to determine the time window from when the object was left behind at the second moment to when it was left behind at the first moment.

[0096] The first determination submodule is used to determine from the target video at least one target object that interacts with the remnant within a time window.

[0097] According to embodiments of this disclosure, the determining submodule includes a first determining unit, a second determining unit, and a third determining unit.

[0098] The first determining unit is used to determine, when it is determined that the first vehicle has detected the abandoned object, multiple candidate objects that have interacted with the abandoned object within the time window from the target video.

[0099] The second determining unit is used to determine the stations that the first vehicle passes through within the time window, based on the time window.

[0100] The third determining unit is used to determine at least one target object from multiple candidate objects based on the boarding and alighting information of multiple candidate objects at stations along the route.

[0101] According to embodiments of this disclosure, the system further includes a second acquisition module and a second determination module.

[0102] The second acquisition module is used to obtain the target disembarkation station of each of the multiple candidate objects from the ticketing system based on the seat information of multiple candidate objects.

[0103] The second determining module is used to determine the boarding and alighting information of multiple candidate objects at the stations they pass through, based on the matching relationship between the target alighting stations of each candidate object and the stations they pass through.

[0104] According to embodiments of this disclosure, the system further includes an identification module and a third acquisition module.

[0105] The identification module is used to identify the target object and determine its identity information when it is determined that the station has detected abandoned objects.

[0106] The third acquisition module is used to obtain the expected driving trajectory information of the vehicle carried by each target object from the ticketing system based on the identity information of each target object.

[0107] According to embodiments of this disclosure, the first determining module 430 further includes a second determining submodule.

[0108] The second determination submodule is used to, when it is determined that a station has detected a remnant, select at least one station that is located after the station among the multiple stations included in the expected driving trajectory information as the target station.

[0109] According to embodiments of this disclosure, the first determining module 430 further includes a third determining submodule and a fourth determining submodule.

[0110] The third determination submodule is used to determine the first position of the first vehicle at the first moment when it is determined that the first vehicle has detected the abandoned object.

[0111] The fourth determination submodule is used to select at least one station that is located before the first position from among the multiple stations included in the expected driving trajectory information as the target station.

[0112] According to embodiments of this disclosure, the system further includes a second transmitting module.

[0113] The second sending module is used to send information about the lost item to the second vehicle when it is determined that the target has changed to the second vehicle, so that the second vehicle can publish lost and found information about the lost item.

[0114] Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure, or at least part of the functions of any one or more of them, can be implemented in one module. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be implemented by dividing them into multiple modules. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as hardware circuitry, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a System-on-Chip, a System-on-a-Substrate, a System-on-Package, an Application-Specific Integrated Circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as computer program modules, which, when run, can perform corresponding functions.

[0115] For example, any plurality of the first acquisition module 410, analysis module 420, first determination module 430, and first transmission module 440 can be combined into one module / unit / subunit, or any one of these modules / units / subunits can be split into multiple modules / units / subunits. Alternatively, at least part of the functionality of one or more of these modules / units / subunits can be combined with at least part of the functionality of other modules / units / subunits and implemented in one module / unit / subunit. According to embodiments of this disclosure, at least one of the first acquisition module 410, analysis module 420, first determination module 430, and first transmission module 440 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging the circuitry, or implemented in software, hardware, or firmware, or in any one of the three implementation methods or a suitable combination of any of them. Alternatively, at least one of the first acquisition module 410, analysis module 420, first determination module 430, and first sending module 440 may be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is run.

[0116] It should be noted that the information processing system part for rail transit in the embodiments of this disclosure corresponds to the information processing method part for rail transit in the embodiments of this disclosure. For a detailed description of the information processing system part for rail transit, please refer to the information processing method part for rail transit, which will not be repeated here.

[0117] Figure 5 A block diagram of an electronic device suitable for implementing an information processing method for rail transit, according to an embodiment of the present disclosure, is shown schematically. Figure 5 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0118] like Figure 5 As shown, an electronic device 500 according to an embodiment of this disclosure includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage portion 508 into a random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of this disclosure.

[0119] RAM 503 stores various programs and data required for the operation of electronic device 500. Processor 501, ROM 502, and RAM 503 are interconnected via bus 504. Processor 501 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 502 and / or RAM 503. It should be noted that programs may also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in one or more memories.

[0120] According to embodiments of this disclosure, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to a bus 504. The electronic device 500 may also include one or more of the following components connected to the input / output (I / O) interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 510 as needed so that computer programs read from it can be installed into the storage section 508 as needed.

[0121] According to embodiments of this disclosure, the method flow according to embodiments of this disclosure can be implemented as a computer software program. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by processor 501, it performs the functions defined in the system of embodiments of this disclosure. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0122] This disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of this disclosure.

[0123] According to embodiments of this disclosure, the computer-readable storage medium can be a non-volatile computer-readable storage medium. Examples include, but are not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0124] For example, according to embodiments of this disclosure, a computer-readable storage medium may include the ROM 502 and / or RAM 503 described above and / or one or more memories other than ROM 502 and RAM 503.

[0125] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods provided in the embodiments of this disclosure. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the information processing method for rail transit provided in the embodiments of this disclosure.

[0126] When the computer program is executed by the processor 501, it performs the functions defined in the system / apparatus of this disclosure embodiments. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0127] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 509, and / or installed from a removable medium 511. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0128] According to embodiments of this disclosure, program code for executing the computer programs provided in embodiments of this disclosure can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can execute entirely on a user's computing device, partially on a user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0129] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions. Those skilled in the art will understand that the features described in the various embodiments of the present disclosure can be combined and / or combined in various ways, even if such combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments of this disclosure may be combined and / or combined in various ways without departing from the spirit and teachings of this disclosure. All such combinations and / or combinations fall within the scope of this disclosure.

[0130] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. An information processing method for rail transit, comprising: In response to the detection of abandoned objects at the station or in the first vehicle at the first moment, a target video of the abandoned objects during a predetermined time period is obtained; The target video is analyzed to identify at least one target object that interacts with the abandoned object; Based on the expected driving trajectory information of the vehicles carried by each target object, at least one target station is determined from the multiple stations included in the expected driving trajectory information. The information of the lost item is sent to at least one target site to publish lost and found information for the lost item at at least one target site.

2. The method according to claim 1, wherein, Analyzing the target video to identify at least one target object that interacts with the abandoned object, including: By performing a retrospective analysis on the target video, the time window from when the object was left behind at the second moment to when it was left behind at the first moment can be determined. Identify at least one target object from the target video that interacts with the relic within the time window.

3. The method according to claim 2, wherein, Identifying at least one target object from the target video that interacts with the relic within the time window includes: If it is determined that the first vehicle detected the abandoned object, multiple candidate objects that interacted with the abandoned object within the time window are identified from the target video; Based on the time window, determine the stations that the first vehicle passes through within the time window; Based on the boarding and alighting information of multiple candidate objects at the stations along the route, at least one target object is determined from the multiple candidate objects.

4. The method according to claim 3, further comprising: Based on the seat information of multiple candidate passengers, the target disembarkation stations of each candidate passenger are obtained from the ticketing system. Based on the matching relationship between the target drop-off stations of multiple candidate objects and the stations along the route, the boarding and alighting information of the multiple candidate objects at the stations along the route is determined.

5. The method according to claim 1, wherein, Also includes: If the station detects the abandoned object, the target object is identified to determine its identity information. Based on the identity information of each target, the expected driving trajectory information of the vehicle carried by each target is obtained from the ticketing system.

6. The method according to claim 1, wherein, Determining at least one target station from a plurality of stations included in the expected driving trajectory information includes: If it is determined that a remnant has been detected at a station, at least one station that is located after the station in the multiple stations included in the expected driving trajectory information shall be designated as the target station.

7. The method according to claim 1, wherein, The step of determining at least one target station from multiple stations of expected driving trajectory information further includes: If it is determined that the first vehicle has detected the abandoned object, the first position of the first vehicle at a first moment is determined; The target station is defined as at least one station located before the first position from among the multiple stations included in the expected driving trajectory information.

8. The method according to claim 1, further comprising: If it is determined that the target person has changed to a second vehicle, the information of the abandoned item is sent to the second vehicle so that the second vehicle can publish a lost and found notice for the abandoned item.

9. An information processing system for rail transit, comprising: The acquisition module is used to acquire a target video of the abandoned object during a predetermined time period in response to the detection of the abandoned object at the station or in the first vehicle at the first moment; An analysis module is used to analyze the target video and identify at least one target object that interacts with the abandoned object. The determination module is used to determine at least one target station from multiple stations included in the expected driving trajectory information based on the expected driving trajectory information of the vehicles carried by each target object. A sending module is used to send information about the lost item to at least one target site to publish lost and found information about the lost item at at least one target site.

10. An electronic device, comprising: One or more processors; Memory, used to store one or more programs. Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 8.

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