1589 results about "Video detection" patented technology

A video detection and monitoring method and apparatus utilizes an application-specific object based segmentation and recognition system for locating and tracking an object of interest within a number of sequential frames of data collected by a video camera or similar device. One embodiment includes a background modeling and object segmentation module to isolate from a current frame at least one segment of the current frame containing a possible object of interest, and a classification module adapted to determine whether or not any segment of the output from the background modeling apparatus includes an object of interest and to characterize any such segment as an object segment. An object segment tracking apparatus is adapted to track the location within a current frame of any object segment and to determine a projected location of the object segment in a subsequent frame.

A technique for video processing includes: receiving video from a scene; detecting moving pixels in the video; detecting line segments or motion blocks in the video based on the detected moving pixels; identifying targets in the video based on the detected line segments or motion blocks; tracking targets in the video based on the identified targets; and managing the tracked targets in the video.

A modular remote video inspection system for inspecting the interior of a living thing or of an inanimate object, such as a machine. The system comprises a base module connected by way of an interconnection module to a handset comprising a unitary display module and control module. The system makes observations by generating light that is caused to impinge on a surface of the interior of the object of interest. An inspection module attached to the handset comprises both a light guide for providing the light to the area of interest, and a selected one of a sensor and a light receiver. The inspection module comprises a steerable tip configured to be located adjacent the area of interest. The handset includes both controls for operating the system, and a display for providing a view of the region being inspected, as well as status information for the user of an operator.

A television signal substitution system that replaces known video segments such as advertisements with selected replacement advertisements. Fingerprint data of known advertisements can be stored in a fingerprint database. When new fingerprint data is available, the fingerprint data can be automatically or manually transmitted to subscribers. Various techniques can be used to identify advertisements based on the fingerprint data.

The invention discloses a plate number, body color and mark identification-based equipment and a plate number, body color and mark identification-based method for identifying fake plate vehicles. The equipment comprises a video detector, a plate number positioner, a plate number identifier, a body color identifier, a mark positioner, a mark identifier, a database query and alarm device and the like. According to the characteristic that the local edge information of the plate number image is rich, the equipment can accurately position a plate number in a captured image, extract a body region and a rough mark position by using the position of the plate number, and accurately extract a body color and a mark according to the extracted rough position; and then the equipment identifies the characters of the plate number, the body color and the mark, compares the results of the three identifications with data stored in a database to determine if a vehicle is a fake plate vehicle, and gives an automatic alarm for law enforcement officials to stop the vehicle for further check if the vehicle is a fake plate vehicle. The equipment is good in structure, simple in operation, high in judgment accuracy and few in manually set parameters. The equipment can also be used for catching escaped defaulting vehicles, stolen vehicles and peccancy vehicles and the like.

A process monitoring and event capturing system, including at least one video detector for monitoring a process and outputting a video signal and at least one event signal representing an event condition of the process being monitored. A recorder records the video signal and the event signal in a digital video file of a digital storage device having a predetermined data structure. The video file is structured to include at least one event feature data structure at the end of the video file for storing the event signal representative of the captured event condition. The digital storage device includes a temporary data file for storing video segments for examination by the user. The file format structure stores event data from the end of the data file forward in reverse order, permitting additions of data without affecting the previous file structure.

The invention discloses an ATM security certificate and a pre-warning method based on face recognition. The invention introduces face recognition and video detection into the applications of ATM and bank card business for the first time, which can obviously improve the security of ATM financial system, effectively reduce and overawe various ATM fraud and criminal activities. The complete system operation process in the method of the invention is: firstly, registering the face information of a holder at a service window which arranges an infrared face acquisition equipment or with the registration by the users themselves on ATM in bank, and saving the encrypted face information to a bank database and a bank card. Then, determining whether the ATM operator to be recognized is the holder of the bank card or not through verifying the user's identity by a face recognition engine; determining and recognizing whether existing behaviors that threaten ATM and the users though a behavior monitoring engine; and determining whether to trigger corresponding pre-warning mechanism or not according to the recognition result. The invention can extend to the applications of bank book business, public security monitoring and pursuing escaped criminals, etc.

Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry, annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotion.

A technique for video processing includes: receiving video from an overhead view of a scene; detecting moving pixels in the video; detecting line segments in the video based on detected moving pixels; identifying targets in the video based on the detected line segments; tracking targets in the video based on the identified targets; and managing tracked targets in the video.

In the invention, the detecting system comprises a video camera and a signal processor. It uses an improved Gaussian mixture distribution model to characterize each pixel in image frame; the characterized feature only uses a brightness feature; if there isn't a moving object (vehicle), the video image is relatively static; each pixel obeys a statistic model along with time variation; when getting a new image frame, the Gaussian mixture distribution model is renewed, if the pixel in current image match the Gaussian mixture distribution model, then determining the pixel is a background point; otherwise, determining the pixel is a foreground point.

A video detection system and method compares a queried video segment to one or more stored video samples. Each of the queried video segments and stored video samples can be represented by respective digital image sets. A first and second comparison comprises comparing a set of low and high resolution temporal and spatial statistical moments in a COLOR9 space, and eliminating file digital image sets that do not match the queried digital image set. A third comparison generates a set of matching files by comparing a set of wavelet transform coefficients in a COLOR9 space. RGB bit-wise registration and comparison of one or more subframes of specific frames in the queried digital image set to a corresponding set of matching file subframes determines queried subframe changes. In the event of a change in a queried subframe, the changed subframe is added to the set of matching file subframes.

The present invention provides an apparatus for converting a video format of a digital TV and method thereof, by which various functions such as video format detection, color space conversion, chroma format conversion, gamma correction, geometric correction, image quality adjustment, and the like are implemented on one chip to support video signals of various specifications and display devices. The present invention includes an input video format detecting unit detecting a format of an input video, a format converting unit converting spatial resolution, frame rate, scan, aspect ratio, color space, and chroma format of the input video signal detected by the input video format detecting unit into a requested output format, a display characteristic correcting unit correcting the signal converted by the format converting unit to fit a display device, and an image quality adjusting unit adjusting an image quality of the corrected signal.

Detecting video phenomena, such as fire in an aircraft cargo bay, includes receiving a plurality of video images from a plurality of sources, compensating the images to provide enhanced images, extracting features from the enhanced images, and combining the features from the plurality of sources to detect the video phenomena. The plurality of sources may include cameras having a sensitivity of between 400 nm and 1000 nm and / or may include cameras having a sensitivity of between 7 and 14 micrometers. Extracting features may include determining an energy indicator for each of a subset of the plurality of frames. Detecting video phenomena may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame corresponds to a video frame taken when no fire is present, video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames.

A system and method for measuring vehicle speeds using video sensing. The system comprises a tracking camera that generates accurately time-stamped video sequences of the monitored road at high frame rates and a processing unit that analyzes the video sequences in real time to detect moving vehicles and calculate their speeds using the time-over-distance method. The system automatically detects moving vehicles in each image frame and derives vehicle positions from a projective mapping established from reference markers on the road. Time information is obtained from the date and time stamp associated with each image frame. In one example, the system also allows a user of the system to set a trigger speed, and the system automatically saves a video clip of the vehicle whose speed exceeds the trigger speed, recording the speeding vehicle passing through the monitored traffic zone defined by the reference markers.

Disclosed are apparatus and methods for detecting whether a video is adult or non-adult. In certain embodiments, a learning system is operable to generate one or more models for adult video detection. The model is generated based on a large set of known videos that have been defined as adult or non-adult. Adult detection is then based on this adult detection model. This adult detection model may be applied to selected key frames of an unknown video. In certain implementations, these key frames can be selected from the frames of the unknown video. Each key frame may generally correspond to a frame that contains key portions that are likely relevant for detecting pornographic or adult aspects of the unknown video. By way of examples, key frames may include moving objects, skin, people, etc. In alternative embodiments, a video is not divided into key frames and all frames are analyzed by a learning system to generate a model, as well as by an adult detection system based on such model.

The invention provides a mobile target detection and track method of video detection, which comprises that first inputting video data, collecting sequential image in the video data, pretreating the image, checking the mobile target in the sequential image, reconstructing a background mode and extracting the mobile object, processing character extraction and character match on the mobile target, tracking the checked mobile target in the sequential image, outputting track result, to expresses motion process and predict motion tendency, at least according to the motion tendency and relative motion, judging if the detected mission occurs, when the mission occurs, reacting for the target motion to prompt about the abnormal target motion, and when the mission not occurs, going to track. The invention has accurate and reliable image check and track result on mobile target of video detection, to meet the detection demand of mobile target in supermarket or the like.

The invention relates to a multi-lane free flow video vehicle position and control method, the processes thereof are that: step 1, virtual coils are arranged in the visual field of a panoramic camera to form a detection area. Step 2, when a vehicle enters the detection area, a video detector starts an algorithm program to obtain the position of the vehicle. Step 3, a central processing unit starts a microwave communication system and an image snapshot system. Step 4, a logical comparison system judges whether the vehicle has electronic label information, if without, executing step 8. Step 5, the logical comparison system judges whether a vehicle license plate number in the electronic label information and the vehicle license plate number which is identified by a license plate recognition system are consistent, if not consistent, executing step 8 is. Step 6, the images of the vehicle which are snapshot are deleted. Step 7, toll transaction is done, and a transaction record is formed after the transaction. Step 8, the transaction record which is transferred to a background billing system is further treated. Step 9, returning to a main process. The method can achieve an electronic toll collection function in a multi-lane free flow mode through the accurate location for the vehicle and the coordination control for a system.

The invention discloses a method for controlling game characters based on a human face analyzing technology. The method comprises the following steps: preprocessing an image obtained from an image input device simply and effectively; detecting the human face and positioning key points by a statistical learning method; and analyzing the positioning result to obtain human face gesture and expression information, and mapping the information to corresponding game control commands to achieve the real-time control function of the faces of the game characters. Using human face information of a player to control the game characters extends the interaction modes of the prior games by only shooting a picture of the human face of the player by a camera, analyzing the state and the expression information of the picture in a space, and converting the analyzed result into the control commands of the game characters. A video detection method of the invention is real-time, robust and easy to realize and operate. The method can enable game players to perform interactive operations in a more natural and more intellectual new mode, such as adopting self head gestures, face expressions and the like to endow games with more interactions and immersion.

The invention discloses a video analysis and storage method, a system and a video detection method and a system, respectively saving the storage space of the video image and increasing the efficiency of the video search, wherein the analysis and storage method and the system analyze the video image and store the motion segment containing the motion target, while the video detection method and the system analyze the video image and store motion segment containing the motion target, and the related motion target information and the motion segment information, search the stored motion segment according to the information and the index term input by the users. The invention can be widely applied in the video processing system, particularly the video monitoring system.

The invention relates to network video monitored fault positioning system and method based on video detection and comprehensive network management. In the invention, a fault positioning and analyzing center server generates quality detecting task information according to the set of users and equipment information obtained from a network video monitoring platform, and distributes the quality detecting task information to a video quality detecting server, and the video quality detecting server carries out detection according to video images obtained from the network video monitoring platform, realizes fault positioning by being combined with network information in the fault video flowing transmitting process in detection results, and displays corresponding fault positioning and warning information to the users. Therefore, when the network video quality has problems, by using the device and the method provided by the invention, the automatic fault poisoning can be realized, the fault warning can be prompted to the users, the maintenance reference suggestion can be provided, and further the stability of network video monitoring service can be ensured. The system provided by the invention is clear in framework, realizes reasonable cost, is easy and convenient for using the method and is wide in application range.

The invention provides an inducing device and an inducing method of vehicle confluence at an intersection based on vehicle and road collaboration. The device consists of a video detector set, a roadbed computer module, a wireless router, a ring road side traffic information prompting screen and a traffic inducing band, wherein the video detector set is used for sending real-time collected video data of the vehicles on a high speed arterial road to the roadbed computer module; and the roadbed computer module is used for processing the video data to generate a control signal; and the control signal is sent to the ring road side traffic information prompting screen by the wireless router to respectively display and convert the modes of an LED lamp. The inducing method comprises the followingsteps of: obtaining the real-time speeds and real-time distances of the moving vehicles by processing the traffic video flow of the vehicles on the high speed arterial road; and generating the control signal, wherein the control signal is displayed by the traffic information prompting screen and is used for controlling the mode conversion of the LED lamps of the traffic inducing band. The invention is capable of effectively avoiding the traffic accidents on the intersection of the ring road and the high speed arterial road.

The invention discloses an electronic toll collection system and method. The system consists of a lane control computer and a road side unit, wherein the lane control computer is used for receiving information of the road side unit and performing corresponding treatment on the information; the road side unit comprises a wireless location module used for locating a vehicle-mounted e-tag, a toll transaction module used for communicating with the vehicle-mounted e-tag, acquiring billing and vehicle information of the vehicle-mounted e-tag and completing toll transaction, a video detection module used for detecting vehicle positions, capturing vehicle images and recognizing vehicle registration plates, and a control module used for realizing real-time position matching between position information, acquired by the wireless location module, of the vehicle-mounted e-tag and the vehicle position information detected by the video detection module and achieving corresponding process control. According to the invention, the toll transaction success rate can be effectively improved, car-following interference is reduced and toll dodging is prevented.

The invention discloses a method for detecting riot and terror videos based on CNN and LSTM, and belongs to the technical field of pattern recognition, video detection and deep learning. The detection method comprises following steps: firstly, key frame sampling is performed on the video to be detected and key frame features are extracted; expression and discrimination at video level are performed, wherein the expression and the discrimination comprise VLAD feature expression and SVM discrimination of a CNN semantic module, VLAD feature expression and SVM discrimination of a CNN scene module, and LSTM discrimination of a LSTM time sequence module; finally, results are fused. According to the method, the advantages of CNN on image feature extraction and LSTM on time sequence expression are utilized, and features of riot and terror videos at scene are taken into full consideration; test index mAP value reaches 98.0% in real tests which approaches manual operation level. In terms of operation speed, only single machine GPU acceleration mode is adopted and 76.4 seconds of network video can be processed per second; the method is suitable for blocking the spread of riot and terror videos on large video websites and therefore it helps maintain social stability and state long-term peace and order.

The invention provides a driver's driving behavior monitoring device and a monitoring method based on video detection. The monitoring device comprises an image acquisition and preprocessing module, a function button module, an alarm, a display screen, an external storage card, a power module and a central processor. The monitoring method comprises the following steps: the equipment performs a self-test, and the central processor configures an internal register of the image acquisition and preprocessing module; the image acquisition and preprocessing module takes charge of acquiring image dataand preprocessing image analog signals; the format of the preprocessed data is converted by the central processor; the driver's driving behavior is recognized based on video detection; and if the driver's driving behavior is judged as an illegal behavior, the alarm generates a corresponding warning, and the corresponding illegal picture is stored in the external storage card for later checking and tracking. Through the driver's driving behavior monitoring device and monitoring method, whether a driver has an illegal behavior during driving can be effectively monitored, a warning is given about the illegal behavior, and traffic accidents caused by illegal operations of the driver can be effectively avoided.

An inspection apparatus adapted for use in motor vehicle maintenance and repair is disclosed. A sensor, such as a video camera, is coupled by an elongated, flexible shaft to a self-contained, handheld power source. A source of illumination is mounted near the sensor and directs light onto an object that is viewed by the sensor. Input power to the sensor and the illumination source, and an output signal from the sensor, are coupled through the shaft, which will maintain any desired flexed position. Optionally, one or more microphones are mounted near the sensor to receive sounds produced by the object. Connectors extend from a housing of the power source so that the sensor output signal and an output from the microphones may be coupled to an external device. A removable clamp may be affixed to the apparatus so that the apparatus can be temporarily attached to a motor vehicle. As a result, a technician may easily visualize parts of the motor vehicle safely, clearly, and without disassembling the parts.

The invention relates to a fake-licensed car detection method based on number-plate identification and gridding supervision. On the basis of number-plate identification and gridding supervision, the method links the number-plate with the information of each supervision point, and finds out suspect fake-licensed cars by detection by time difference judgment. On the basis of video, each supervision point uses the measures of winding triggering, video detection, and the like to detect the cars passing through the point, and to identify and link the number-plates with the identical number-plate data of other supervision points, thereby finding out the suspect fake-licensed cars by detection. The method provides good measures for detecting the fake-licensed cars in the range of supervision, and the problem of fake-licensed car of identical type, which can not be solved by the current technology, can be solved.

A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.

The utility model provides a method to detect wonderful clips of the soccer video, aiming at the incapacity of the prior method in judging the type of the wonderful clips in soccer sport competitions. The method of the utility model comprises the following steps: first a compressed video of the soccer competitions in the data base is decoded via a decoder; then video shot boundary is detected; feature extraction is conducted to other shots in the shot types, and the soccer video shots are classified based on the corresponding feature extraction; then video shot clips boundary is detected according to the result of the shot classification; observation vector of each clip is extracted, and the type of the clip is judged according to the observation vector extracted from the clip; the confirmed wonderful clips are classified; finally the classified wonderful clips are excerpted and stored in the data base.