516 results about "Video tracking" patented technology

The present invention relates to an in situ micromachined mixer for microfluidic analytical systems. In a preferred embodiment, a 100 pL mixer for liquids transported by electroosmotic flow (EOF) is described. Mixing was achieved in multiple intersecting channels with a bimodal width distribution and varying lengths. Five .mu.m width channels ran parallel to the direction of flow whereas larger 27 .mu.m width channels ran back and forth through the network at a 45.degree. angle. All channels were approximately 10 .mu.m deep. It was observed that little mixing of confluent streams occurred in the 100 .mu.m wide mixer inlet channel where mixing would be achieved almost exclusively by diffusion. In contrast, mixing was complete after passage through the channel network in the .apprxeq.200 .mu.m length mixer. Solvent composition was altered by varying the voltage on solvent reservoirs. The high efficiency attained in this mixer was attributed to the presence of a 2 pL vortex in the center of the mixer. Video tracking of fluorescent particles with a fluorescence microscope allowed the position and volume of this vortex to be determined.

The invention discloses a microphone array sound source positioning method, device and system based on video tracking. The method comprises the steps that the time difference information of a number of microphones which acquire current speech in a microphone array is counted; according to the time difference information and the position information of a number of microphones, the approximate position information of a current sound source is acquired; according to the approximate position information, sound source tracking control of the first time is carried out on a camera, so as to carry out video acquiring and human face detection; and according to a human face detection result, sound source tracking control of the second time is carried out on the camera, so that a human face image of a current spokesman is placed at an intermediate position of a current video image. According to the invention, when a user uses a television conference system, without manual control on the camera, the camera can automatically carry out accurate video positioning and tracking on the spokesman; and due to the fact that human face identification is combined, the accuracy of sound source positioning can be further improved.

The invention is directed to systems, methods and computer program products for providing focus control for an image-capturing device. An exemplary method includes capturing an image frame using an image-capturing device and recording video tracking data and gaze tracking data for one or more image frames following the captured image frame and / or for one or more images frames prior to the captured image frame. The exemplary method additionally includes calculating a focus distance and a depth of field based at least partially on the recorded video tracking data and recorded gaze tracking data. The exemplary method additionally includes displaying the captured image frame based on the calculated focus distance and the calculated depth of field.

The invention discloses a digitalized information management system and a method for realizing the same for nursing stations in hospitals. The digitalized information management system comprises nursing station monitoring management equipment, multiple ward field apparatuses and a communication network, and the communication network is used for connecting the ward field apparatuses with the nursing station monitoring management equipment. The digitalized information management system for nursing stations in hospitals integrates functions of general information processing, intelligent patient and bed combination, intelligent video tracking, calling information linkage and remote transfusion monitoring and alarming by the aid of the network communication, intelligent control and data processing and the like and realizes digitalization of general operation and informatization of ward management, and further, medical treatment technical level, medical treatment efficiency and safety in hospital of patients can be improved, meanwhile, resources are reasonably optimized and configured and resource waste is reduced.

The invention discloses a detection method for an abnormal behavior of a vehicle based on spectrum clustering. The detection method comprises the following steps: obtaining a space-time track of a moving target through video tracking; removing abnormality and preprocessing, thereby obtaining a normal track; constructing an image for the track, thereby obtaining an undirected image corresponding to a track sequence; calculating similarity among tracks, thereby obtaining a similarity matrix; performing Laplace transformation on the similarity matrix, thereby obtaining a Laplace matrix; clustering the feature vector matrix of the front k maximal feature values; after performing mode learning on a motion track, obtaining motion modes of the target under a normal state; if a new track meets one of the motion modes, i.e. a normal motion mode, confirming that the traffic is normal; and if not, confirming that the vehicle abnormally runs, namely, the traffic abnormality occurs. According to the detection method, through the clustering learning for the vehicle track, the monitoring for the abnormal behavior of the vehicle is realized, the abnormal lane change is detected and the basis for automation of traffic management is supplied.

The invention relates to a double-camera automatic coordination multi-target eagle eye observation system and an observation method thereof. The system comprises a hardware platform, a wide angle camera, a pan / tilt / zoom (PTZ) camera, a processor and a multi-channel video acquisition card. The observation method comprises the following steps of: calibrating two cameras to obtain an angle that a moving camera rotates and aligns with any position of the wide angle camera; detecting moving targets from the wide angel camera, and tracking and marking; selecting a target; controlling the PTZ camerato zoom and track if the target moves fast; amplifying the target if the target moves slowly; positioning interested characteristics; and secondarily amplifying and observing an interested region. The system has the advantages of low cost, simple implementation and the like, and can be widely applied to multi-target video tracking fields such as robots, intelligent transportation, video monitoring and the like.

The invention discloses an unmanned aerial vehicle video tracking shooting system and method. The system comprises an unmanned aerial vehicle which comprises a vehicle body, a pan-tilt connected with the vehicle body and a camera device arranged on the pan-tilt; a flight controller which is arranged on the unmanned aerial vehicle and controls the motion of the pan-tilt and the flight of the unmanned aerial vehicle; and an image data processing module which is arranged on the unmanned aerial vehicle, is connected with the camera device and the flight controller, receives image videos shot by the camera device and carries out image data processing, and transmits the processing result to the flight controller, which then, controls the pan-tilt and the unmanned aerial vehicle to carry out tracking shooting according to the processing result. The scheme can carry out identification and tracking shooting on a target accurately and efficiently; and the structure and steps are simple.

The invention discloses a traffic violation detection method based on video tracking and pattern recognition, and belongs to the technical fields of image recognition and pattern recognition. The method comprises the following steps: firstly, defining violation modes, namely defining traffic light stop lines, driving directions, and areas and directions of violation of course change; secondly, monitoring and controlling a camera to shoot video images of intersections; and thirdly, analyzing the video by an embedded system, performing detection and measurement by a pattern recognition method, using the video to track and acquire running tracks of vehicles, using the pattern recognition method to analyze behaviors of any one vehicle according to the running tracks, and immediately shooting the vehicle for recording if one of the following violation behaviors happens: going in wrong directions, violation of full line course change and running of a red light. A detection device used comprises a high-speed camera, a video controller, and a video tracking and pattern recognition device, wherein the video tracking and pattern recognition device comprises a traffic light signal receiving device, a video acquisition and conversion module, a violation setting module, a vehicle detection module, a video tracking module, a violation analysis module, a camera control module and a data wireless transmission module.

The present invention pertains generally to the field of computer graphics user interfaces. More specifically, the present invention discloses a video image based tracking system that allows a computer to robustly locate and track an object in three dimensions within the viewing area of two or more cameras. The preferred embodiment of the disclosed invention tracks a person's appendages in 3D allowing touch free control of interactive devices but the method and apparatus can be used to perform a wide variety of video tracking tasks. The method uses at least two cameras that view the volume of space within which the object is being located and tracked. It operates by maintaining a large number of hypotheses about the actual 3D object location.

This relates to a method for image segmentation and video object tracking. While conventional methods rely on the motion homogeneity of the objects to be tracked, the present method is based on a concept of partition projection in which both spatial and motion information are now exploited, and implemented by means of a modified double partition approach, including a re-segmentation of a first partition followed by a projection step of the obtained fine partition into the current frame. Objects presenting non-homogeneous motion, static objects, and parts of an object with homogeneous motion can thus be tracked.

A method for tracking an object in a sequence of video frames includes the following steps: creating a model with characteristic features for the object to be tracked; and performing a template matching algorithm in individual frames on the basis of the created model for determining a position of the object in the respective frame. An apparatus arrangement for performing the method includes at least one video camera (10, 12), at least one monitor (24, 26), one computer (20) and one input device (28) for an observer (22).

A method, computer useable medium, and / or system for analyzing media exposure that generates databases of retail location parameters, generates databases of media parameters, generates databases of exposure factors associated with an entity, executes relational queries that correlate the exposure factors with the media parameters, and develops lists of retail locations from the executed relational queries. The retail location and / or media parameter databases may include a radio technical database, a radio zip code map database, a venue database, a venue zip code map database, a video technical database, a video zip code map database, a sales market database, a sales market zip code map database, a retail location database, or the like. The databases of exposure factors may include a key market database, a radio tracking database, a video tracking database, a tour database, a project database, or the like.

The invention discloses an aerial photographic video tracking method based on scale self-adaptive and shielding handling. The method comprises the steps that as for each frame of input image of an aerial photographic video, the peak value of a KCF tracker response function under the current scale is calculated, whether a target is shielded is judged, updating of the tracker parameters is stopped if the judgment result is yes, or scale change detection is continued; and a large scale or a small scale is calculated through a threshold limiting method every time, the optical scale for describing the current target state is detected and the tracker parameters of the current scale are updated. The method has great robustness and real-time performance in the process of tracking the target in the aerial photographic video so that accurate and continuous tracking of the aerial photographic target can be realized.

The invention discloses a method for intelligent parking guidance based on video tracking and identification, a server and a system. The method comprises steps of: receiving a parking request sent by a user terminal; extracting vehicle feature information and a license plate from video information sent by a camera; sending a parking route to the user terminal; tracking the license plate according to the vehicle feature information and the license plate so as to obtain a parking stall information of a vehicle; and updating the parking stall information and binding the user terminal and the parking stall. According to the invention, through the video tracking and image identification technology, a parking lot is monitored and managed; parking routes are provided; and usage rate and management efficiency of the parking lots are improved.

A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.

The invention provides a video tracking analysis method and a system combined with geographic information. According to the invention, an object is confirmed and the characteristic information thereof is extracted through initialization, so the information of the object, such as, initial position, starting time, the next position and the required time spent in reaching the next position, is obtained; the video in the specific time section of the next position is subjected to matching; the position information is subjected to processing according to the matching result; and the path information of the object is stored and output. According to the invention, the camera relevance of a monitoring system is effectively utilized, the network space of the cameras and the time relevance is combined, and the object driving path can be automatically analyzed based on the geographic information obtained through the cameras.

The invention discloses a supermarketself-helppaymentintelligentsystembasedonvisualanalysis. The system comprises a camera, a commodity information extraction module, a price display module, a commodity recognition module, a visual analysis module and a video recording module, the camera is used for collecting images for other modules to use, the commodity information extraction module is used for extracting weight and image information of each commodity when the commodities enter a commodity preparing area and also used for acquiring barcode information of each commodity in a code reading area, the price display module is used for extracting the barcode information of each commodity, then displaying prices of corresponding commodities.

This disclosure provides a static occlusion handling method and system for use with appearance-based video tracking algorithms where static occlusions are present. The method and system assumes that the objects to be tracked move in according to structured motion patterns within a scene, such as vehicles moving along a roadway. A primary concept is to replicate pixels associated with the tracked object from previous frames to current or future frames when the tracked object coincides with a static occlusion, where the predicted motion of the tracked object is a basis for replication of the pixels.

The invention discloses a video significance detecting method based on area segmentation, wherein the method mainly settles a problem of low detecting accuracy by an existing video significance detecting method. The video saliency detecting method comprises the steps of 1, performing linear iteration clustering on video frames, thereby obtaining a super-pixel block, and extracting the static characteristic of the super-pixel block; 2, by means of a variational optical flow method, obtaining the dynamic characteristic of the super-pixel block; 3, fusing the static characteristic and the dynamic characteristic for obtaining a characteristic matrix, and performing K-means clustering on the characteristic matrix; 4, performing linear regression model training on each cluster, thereby obtaining a regression model; and 5, reconstructing a mapping relation between a test set sample and a obtaining the significance value of a test set super-pixel block, and furthermore obtaining the significance graph of a testing sequence. Compared with a traditional video significance algorithm, the video significance detecting method has advantages of improving characteristic space and time representation capability, and reducing effect of illumination to detecting effect. The video significance detecting method can be used for early-period preprocessing of video target tracking and video segmenting.

The invention relates to an aerial photographed video target tracking method based on related filtering and significance testing. Through the tracking method based on related filtering and significance testing, a direction gradient histogram characteristic and a gray-scale characteristic are utilized for realizing high robustness of a tracking result to factors such as illumination change, noise and shield. Particularly when a target is severely shielded and tracking failure occurs, the aerial photographed video target tracking method realizes target detection through a redetection mechanism, so that long-time continuous tracking of the target can be realized. Furthermore, a significance detecting method based on a residual spectrum theory realizes simple and quick calculation. Redetection to the target can be realized through a relatively low calculation cost. A requirement for real-time performance of an algorithm in aerial photographing video tracking can be effectively satisfied.

A method and system of identifying and tracking online videos comprises the steps of searching and discovering targeted video on the Internet, filtering out manageable amount of online videos from large amount of search results of the targeted video, acquiring online video contents through websites, identifying acquired videos by their contents, and generating different tracking reports according to video identification results and other historical records.

A method for identifying facial features comprises following steps: An image tracing step is performed to receive video data of a plurality of face images and to obtain a real-time background image from the video data by a video tracing technique.A data calculating step is performed to calculate a video data difference between a current face image and the real-time background image.A process setting step is performed to set an iteration number according to the video data difference.A coordinate requesting step is performed to obtain facial feature coordinates of a previous face image,the previous one of the current face image,serving as initial facial feature coordinates.A localization step is performed to obtain current facial feature coordinates of the current image by conducting an iterative calculation according to the iteration number and based on the initial facial feature coordinates.

The present video tracking technique outputs a Maximum A Posterior (MAP) solution for a target object based on two object templates obtained from a start and an end keyframe of a whole state sequence. The technique first minimizes the whole state space of the sequence by generating a sparse set of local two-dimensional modes in each frame of the sequence. The two-dimensional modes are converted into three-dimensional points within a three-dimensional volume. The three-dimensional points are clustered using a spectral clustering technique where each cluster corresponds to a possible trajectory segment of the target object. If there is occlusion in the sequence, occlusion segments are generated so that an optimal trajectory of the target object can be obtained.

The invention provides a method for controlling a holder camera on a touch screen of a monitor terminal. A virtual rocking lever is arranged on the touch screen of the monitor terminal. The method comprises the following steps: detecting a user gesture on the virtual rocking lever; responding the detected gesture; sending a control signaling enabling the holder camera to perform corresponding operation; receiving a perform result aiming at the control signaling fed back by the holder camera, and if the performing is successful, feeding the result back to the monitor terminal in a vibrating manner to prompt a user that the holder camera performs the operation. By arranging the virtual rocking lever on the intelligent monitor terminal, not only the operation habits of the user in a traditional video monitor is kept, but also the convenience and efficiency of the video tracking are improved; the operation of more than three functions on a traditional video monitor client can be realized only by two fingers of the user.

The invention discloses a multi-target tracking method based on graph representation and matching. Compared with the prior art, the method has the advantage that the defect of incapability of successfully tracking due to frequent interactive shielding of targets and similar appearance features in a video tracking technology is overcome. The multi-target tracking method comprises the following steps: inputting a tracking video, and generating target-reliable short tracks in adjacent time windows; building a spatial motion model which takes a graph as a framework and an appearance model which takes color and local two-value difference as features for the formed target short tracks; calculating the appearance feature and spatial motion similarity among the tracks; realizing relevant tracking of a target by using a weighted two-value graph matching framework; repeating the steps continually to obtain a motion track at all moments of each target. Through adoption of the multi-target tracking method, the target tracking accuracy and efficiency in a complicated scene are increased, and the application degree of a track tracking technology in various scenes is increased. Accurate tracking of the target in a complicated environment is realized by means of online learning of the appearance model and the spatial motion model.

The invention provides an intersection control system and method capable of reducing the intersection queuing length. How many green light periods are needed by current queuing vehicles to pass through an intersection can be accurately obtained by conducting continuous tracking on the queuing vehicles through a video tracking unit. According to the number of the green light periods needed by the current queuing vehicles to pass through the intersection, whether the current period of time passing condition belongs to the peak period or the flat peak period or the low peak period is judged in a quantified mode, and then a signal light control strategy is adjusted. Due to the fact that the process is carried out in real time, the signal light control strategy is adjusted in real time according to the green light time needed by the queuing vehicles to pass through the intersection. Compared with the high peak, flat peak and low peak control strategy of signal light control through fixed time division in the prior art, the length of the queuing vehicles at the intersection can be more effectively reduced.

The invention provides an intersection control machine capable of shortening green light lost time and a control method. Detectors with the video tracking function are used for continuously tracking all vehicles passing an intersection, the time for each vehicle to reach an intersection stop line at a current speed can be accurately detected, when vehicles come from two directions at the same time, the vehicles which reach the stop line first can be accurately measured under the current road traffic conditions, on the premise that the current speeds of the vehicles in the two directions are kept, a green light signal can be preferentially provided for the vehicles which reach the stop line first, and the efficiency of the green light is improved. According to the technical scheme of the intersection control machine, the problem caused by the mode that only one or more detectors can be embedded in the cross section, nearby the intersection stop line or with a certain distance from the intersection stop line, of the intersection is solved.

A device and a method are provided for spatially locating and tracking an object, such as medical instruments, a patient and / or part of a patient's body using a camera array having at least two cameras, and for mutually assigning the spatial position of the object and an acquired, stored data set. Trackable markings are recorded via the camera array, the markings are extracted from the recordings, and a location of the markings is monitored, wherein the spatial position of the object is based on the location of the markings. Further, video recordings of a surface of the object are produced via the camera array and, with computer assistance, surface portions of the object are identified and correlated with corresponding surface portions in the stored data set, wherein the spatial position of the object is assigned to that of the data set.