47 results about "Video tracking system" patented technology

A video surveillance system is integrated with an RFID tracking system. The calibration of the RFID tracking system is enhanced by using information provided by the video surveillance system. Optionally, the calibration of the video surveillance system may be enhanced by using information provided by the RFID tracking system. Calibration of the RFID tracking system is facilitated by placing RFID tags at visually apparent locations in a surveillance area and using the location information determined from the video surveillance system to determine appropriate correction factors for use in subsequent RFID location determinations. Dynamic performance is also calibrated by placing RFID tags on visually apparent moving targets and using the location information determined from the video surveillance system to determine the parameters used to qualify subsequent RFID location estimates of moving targets.

A video tracking system includes a user interface configured to facilitate tracking of a target between video cameras. The user interface includes user controls configured to assist a user in selecting video cameras as the target moves between fields of view of the video cameras. These user controls are automatically associated with specific cameras based on a camera topology relative to a point of view of a camera whose video data is currently being viewed. The video tracking system further includes systems and methods of synchronizing video data generated using the video cameras and of automatically generating a stitched video sequence based on the user selection of video cameras. The target may be tracked in real-time or in previously recorded video and may be track forward or backwards in time.

A video tracking system includes a user interface configured to facilitate tracking of a target between video cameras. The user interface includes user controls configured to assist a user in selecting video cameras as the target moves between fields of view of the video cameras. These user controls are automatically associated with specific cameras based on a camera topology relative to a point of view of a camera whose video data is currently being viewed. The video tracking system further includes systems and methods of synchronizing video data generated using the video cameras and of automatically generating a stitched video sequence based on the user selection of video cameras. The target may be tracked in real-time or in previously recorded video and may be track forward or backwards in time.

Video tracking systems and methods include a peripheral master tracking process integrated with one or more tunnel tracking processes. The video tracking systems and methods utilize video data to detect and / or track separately several stationary or moving objects in a manner of tunnel vision. The video tracking system includes a master peripheral tracker for monitoring a scene and detecting an object, and a first tunnel tracker initiated by the master peripheral tracker, wherein the first tunnel tracker is dedicated to track one detected object.

The invention relates to a multi-target tracking system in a dynamic video sequence, belonging to the technical field of image processing. The multi-target tracking system comprises an input module, a moving target detection module, a PHD (Probability Hypothesis Density) filter module and an output module, wherein the moving target detection module comprises a background area initialization submodule, a background area updating submodule, a foreground image extraction submodule, a morphology processing submodule and a connected domain analysis submodule; and the PHD filter module comprises a Gauss element parameter prediction submodule, a Gauss element updating submodule, a Gauss element trimming submodule and a state extraction submodule. The invention provides more reliable measurement information for the video tracking system through the improved moving target detection module, solves the problems of possible complex computation of particle filters and probability hypothesis density filters and unreliable state extraction under the condition that targets are crossed, ensures the effectiveness and the reliability of the video tracking system, avoids the data association computation and is widely used in various fields of multi-target video monitoring.

The invention discloses a method for tracking a video target. The method comprises the following steps that: gradient vector flow (GVF) deformation is carried out to each candidate position in a current frame to obtain each deformation curve; the video characteristic of the deformation curve is calculated; according to the calculated video characteristic, a candidate position is determined as a target position. The invention also discloses a video target tracking device and an automatic video tracking system, which can improve the accuracy of target tracking.

A video tracking system integrates a pair of video cameras into the vehicle instrument cluster. The video tracking system includes an instrument cluster in a vehicle having at least one vehicle related instrument. A video camera is located in the instrument cluster and is oriented to capture images of a driver of the vehicle. The system includes a processor for processing the images acquired by the video camera and determining one or more characteristics of the driver.

The invention relates to a video tracking system of a panoramic pan-tilt-zoom camera, belonging to the technical field of electronic apparatuses. The video tracking system comprises a panoramic cameramodule, a pan-tilt-zoom camera, a near-infrared label and a computer, wherein the panoramic camera module and the computer are connected in series to transmit panoramic video information of a trackedenvironment; the pan-tilt-zoom camera and the computer are connected in series to transmit video information and control information of a tracked target; and the near-infrared label is positioned onthe tracked target to transmit near-infrared light. The panoramic camera module is utilized to realize 360-degree panoramic tracking so as to enlarge a tracking view; the pan-tilt-zoom camera is utilized to obtain a clear video image of the tracked target; the near-infrared label is utilized to correctly recognize and position the tracked target; and image processing software is utilized to occupyless computer resources and improve the timeliness, therefore, the system rapidly and correctly obtains the clear video image of the tracked target finally.

The invention discloses a real-time video tracking system based on a controllable camera of a holder. The system comprises an image processor which is connected with the holder, a video decoder, a monitor, a control table, an SDRAM, nand flash and a power source. The video decoder is connected with the camera which is installed on the holder. The invention further discloses a tracking method for the tracking system. A PCKH video tracking algorithm of the video tracking system is combined with an improved POC matching algorithm and Kalman prediction to determine the position of a tracking object, the externally-connected outline of the area where matching angle points are located after the position slides flatly is used for determining the size of the object, and the system has good robustness when the object shifts, rotates and is shielded, and the scale changes, and under the circumstances of illumination changing, complex backgrounds and noise.

An apparatus and method for generating a conformal window in a video tracking system. Each of the lines within the conformal window comprises a sub-window which is resized for each frame of video signal. The composite window comprising all the sub-windows is also resized vertically for each frame. The target image sub-windows are divided into left and right edge regions and a central region and are processed based on the density of pixels in the sub-window for each new frame. The target image is apportioned vertically into top and bottom regions and a central region, and lines of target image detail are processed to delineate new top, bottom and central regions for each subsequent frame of video signal. The resized window gradually assumes an orientation which conforms to the target image orientation.

The invention discloses a dynamic video tracking system based on sound source positioning. The dynamic video tracking system comprises a plurality of microphones, an audio acquisition module, a digital signal processor (DSP), a phase-locked loop, a flash module, a field programmable gate array (FPGA) module and a synchronous dynamic random access memory (SDRAM) module. In order to overcome the defects of the conventional video tracking monitoring technology, an audio signal is acquired by a microphone array which consists of a plurality of microphones, transmitted to the audio acquisition module and subjected to analog to digital (A / D) conversion; a corresponding digital signal is transmitted to the DSP, and an azimuth angle and a control signal are obtained by processing operation through a relevant algorithm program, transmitted to a universal asynchronous receiver / transmitter (UART) and subjected to parallel-serial conversion; and the control signal is transmitted to a stepping motor and a holder, so tracking shooting of a target sound source can be realized. Compared with the prior art, the dynamic video tracking system has the advantages that a small number of cameras are required to be installed, a monitoring area is ensured, and production cost can be reduced.

The invention discloses a video tracking system on the basis of positioning of a sensor network. Sensor nodes are arranged on a body of tracked personnel, in the surrounding environment and on a cloud platform host to form the sensor network; an accurate position of the personnel is obtained by utilizing a sight distance signal strength weighted centroid positioning algorithm on the basis of double nodes; then position information of the personnel is sent to a background server; a cloud platform is controlled by the background server to acquire video information around the position of the personnel; a video is transmitted to the background server through a wired mode; and a personnel tracking picture is displayed by the background server in real time. Moreover, for ensuring the video tracking system to adapt to different environments, the invention also discloses a wireless Ad Hoc network transmission strategy of a video streaming, which comprises the following steps of: carrying out video compression according to an H.264 video compression algorithm; and finally, transmitting video information of the cloud platform to a wireless mobile monitoring terminal through a wireless Ad Hoc network and displaying the tracking picture on the mobile monitoring terminal in real time.

The invention discloses an intelligent wireless communication miner lamp which comprises a shell, a main lamp body and a power source. The intelligent wireless communication miner lamp further comprises a video tracking system, a voice communication system, a gas detection system and a WIFI network module. The video tracking system comprises a camera and a storage device, and video signals collected by the camera are saved into the storage device and uploaded to a command and dispatch center through the WIFI network module so as to achieve video storage and video tracking. The voice communication system comprises a pickup device and a loudspeaker which are respectively connected with the WIFI network module, and the gas detection system comprises a gas detection circuit, an alarm control circuit and a sound alarm circuit. The intelligent wireless communication miner lamp organically combines lighting, video voice and environmental monitoring early warning, achieves the video real-time tracking function and the voice real-time tracking function, and protects safe working of high-risk-environment workers.

The invention provides a self-adaptive multi-target video tracking system under different scenes, aims to solve the problem of simultaneous tracking of a plurality of targets in video monitoring and manage the tracks of the tracking targets, and provides a multi-target tracking method based on single-target tracking improved fusion. A continuous adaptive mean shift algorithm and an online learning detection tracking algorithm are adopted, the two algorithms are applied to different monitoring scenes to be improved and fused to perform multi-target tracking respectively, and the multi-target video tracking system tracks and solves the problems of automatically extracting, detecting and tracking targets, and classifying the targets, different algorithms are used for tracking different targets, and meanwhile, post-processing and unified management are performed on the tracked trajectory result, so that the retrieval efficiency of the system on the target trajectory is greatly improved while the tracking effect is improved.

Computer system and method for detecting and tracking events comprising one or more entities depicted in a video data stream comprising a background image including the entities, the computer system being adapted to receive the video data stream for processing thereof for detecting and tracking entities depicted in a video data stream from a camera that capture images from a particular scene (the input images) having a background image comprising entities such as persons and vehicles and where events such as movement of the entities may occur. The system processes the video data stream to generate the sensory representations to be displaced in a user interface operatively connected to the system. The sensory representations are then applied to the background image generating a visualised imagery for viewing by a viewer in the user interface.

The invention discloses a vehicle motion parameter estimation method based on incomplete information measurement. Different Kalman filtering system state models are established according to the relative movement condition of a vehicle; a global positioning system, vehicle communication information and millimeter wave radar information are taken as observed quantities, a video tracking system is combined, possible process interference and measurement data interference in the practical environment is considered in the operation process, and an interactive multi-model algorithm is used to obtainrelated parameters including speed and acceleration of vehicles in the same lane; and vehicle-mounted video tracking is combined to locate a vehicle target in the same lane under the condition that avideo image is interfered much. The method of the invention has the advantages of high positioning precision, reliability and adaptability.

The present invention discloses one kind of method and device for raising the data rate of video tracking system. The video tracking method is that the outer scene is first formed into one parallel light beam through the front objective, the parallel light beam is then formed into one refracted parallel light beam and one reflected parallel light beam in the 45 deg half-reflecting mirror, the refracted parallel light beam is converged to the target plane of the first video camera, the reflected parallel light beam is reflected with one holophote and converged to the target plane of the second video camera; these two video cameras are synchronous and have the same field period but a phase difference of half a field period; the video signals from these two video cameras are processed in the video tracker to obtain the target-missing quantities; and the target-missing quantities are fed to the servo system to complete the tracking to the target. The video tracking system obtains one time raised data rate and has raised tracking performance.

A video tracking system based on the UWB technology comprises a positioning module, an electronic map, a wireless transceiver, a camera module and a control module, the positioning module is a UWB label, the positioning module is arranged in wearable equipment, and the UWB label is used for sending position information and an identity recognition mark in real time; the wireless transceiving deviceis a base station, and the base station is used for receiving information sent by the UWB label and sending a control command to the positioning module; the electronic map comprises a mother map andat least one sub-map, and the sub-map corresponds to a limited area and is bound with a camera module of the limited area; the camera module is connected with the control module to transmit shot imagedata to the control module; the control module comprises a control platform and a display device, the control platform is in communication connection with the wireless transceiving device and the camera module, and the display device is used for playing image data of a current area.

The invention relates to a character superimposition device and a character superimposition method for video tracking and aims to solve the problems of complex peripheral circuits, reduction of system stability due to excessive discrete components, low flexibility and the like caused by the fact that an address of a display memory corresponds to a permanent position of a monitor due to a screen memory map mode adopted by an existing character superimposition device. The character superimposition device comprises an ARM (advanced RISC machines) processor module and a character superimposition module; ten character superimposition chips are serially connected to form the character superimposition module; the ARM processor module comprises a character variable initialization module, a serial port communication module, a mouse monitoring module, a communication protocol analysis module, a write-in array updating module and a word stock control superimposition module. The character superimposition device is high in expandability, the plurality of character superimposition chips are connected serially to realize output of four-channel videos, and accordingly perfect expandability is achieved. In addition, the character superimposition device and the character superimposition method for video tracking have the advantages of convenience in use and effectiveness in real-time superimposition of tracking information in a video tracking system.

The invention discloses a method for tracking a video target. The method comprises the following steps that: gradient vector flow (GVF) deformation is carried out to each candidate position in a current frame to obtain each deformation curve; the video characteristic of the deformation curve is calculated; according to the calculated video characteristic, a candidate position is determined as a target position. The invention also discloses a video target tracking device and an automatic video tracking system, which can improve the accuracy of target tracking.

The invention discloses a down-hole winch position video tracking system and tracking method. The down-hole winch position video tracking system includes a front end camera, a sensor monitoring device, a central control device and an industrial Ethernet system; the front end camera is responsible for collecting on-site real-time images and audio or video signals, and transmitting the video to thecentral control device in an optical network transmission manner; the sensor monitoring device is used for collecting a running mileage of the winch and transmitting to the central control device; thecentral control device processes, stores and displays the received images and audio or video signals, and calculates the winch position information according to the running mileage of the winch collected by the sensor detecting device and the diameter of the winch drum; and the industrial Ethernet system is used for information transmission. The invention can realize real-time switching of the monitoring images, real-time monitoring of the winch position, and real-time recording of the winch video.

The invention relates to an intelligent manufacturing video tracking system based on UWB positioning, and the system comprises a positioning subsystem which is used for collecting a UWB signal sent bya UWB positioning label signal pasted on a cargo through a positioning base station, packaging the received signal and a timestamp, and sending the packaged signal and the timestamp to an informationprocessing subsystem; a video monitoring subsystem which establishes a mapping table with the coverage boundary of the video camera through the positioning label and sends the mapping table to the information processing subsystem; and an information processing subsystem is used for resolving the UWB signal sent by the positioning subsystem to obtain the position of the cargo, judging which camerais monitored by the position according to the mapping table, and recording a monitoring time point. Video intelligent management can be carried out on the production process and the stored goods, andthe management efficiency is improved.

The invention discloses an animal video tracker and an animal video tracking system. The tracker comprises a tracker shell, a stabilization augmentation holder, a video camera module, a first wirelesstransceiver and a comprehensive processor, wherein the pedestal of the stabilization augmentation holder is fixedly connected with the tracker shell; the adjustment part of the stabilization augmentation holder is fixedly connected with the video camera module; the control end of the stabilization augmentation holder is electrically connected with the first end of the comprehensive processor, andthe output end of the video camera module is electrically connected with the second end of the comprehensive processor; and the data end of the first wireless transceiver is electrically connected with the third end of the comprehensive processor. According to the animal video tracker provided by the invention, the video camera module is fixedly connected with the adjustment part of the stabilization augmentation holder, when the lens sways, the stabilization augmentation holder adjusts the position posture of the video camera module towards the opposite direction of the swaying direction, the swaying of the video camera module is reduced, an d thus shot image is steadier, and the technical problem that the image shot by the current video tracker sways acutely so as to be inconvenient towatch is solved.

The invention discloses a multi-target video tracking system based on fractal feature estimation. The multi-target video tracking system comprises an image local fractal feature estimation module, anobservation model establishment and likelihood function calculation module and a multi-Bernoulli filter tracking module. The local fractal feature estimation module calculates local fractal features of each frame of image and forms a new Hurst index image. The observation model establishing and likelihood function calculating module is used for establishing an observation model and calculating a likelihood function by utilizing local fractal characteristics and a Hurst index. The multi-Bernoulli filter tracking module is used for tracking a plurality of targets in the Hurst index image. According to the method, under the condition that the sensor is static or moves, a plurality of targets can be correctly tracked, and good robustness is achieved for complex tracking such as target enteringand leaving, target part shielding and target number changing.

The invention discloses a multi-target video tracking system which comprises a video acquisition module, a motion synthesis module, a database module, an intelligent processor, a monitoring module andan input module. The output end of the video acquisition module is electrically connected with the input ends of a foreground module and a motion detection module; the output ends of the foreground module and the motion detection module are electrically connected with the input end of the motion synthesis module; the output end of the motion synthesis module is electrically connected with the input end of an index module; the output end of the index module is electrically connected with the input end of the database module; the output end of the database module is electrically connected withthe input end of a behavior analysis module; the output end of the behavior analysis module is electrically connected with the input end of the intelligent processor; and the output end of the intelligent processor is electrically connected with the input end of the monitoring module. The multi-target video tracking system is provided with an alarm module, so that the multi-target video tracking system can effectively remind to pay attention to avoid damage to properties.

The invention discloses a video tracking system and method based on target feature space-time alignment, and the system comprises a global feature extraction module, a target position prediction module, a target feature extraction module and a target tracking module.The system makes full use of the position relation between targets and the motion features of front and back frame targets, enhances the discrimination between different targets, and improves the accuracy of target tracking. The most representative target features are screened out, the targets can be predicted and distinguished more accurately during video tracking, front and back frame targets can be matched more accurately, and the stability of object category prediction is enhanced.

The embodiment of the invention provides a video tracking method, a video tracking system and a video camera. The video tracking method is applied to the video camera and comprises the steps that thevideo frame image sequences of the videos recorded by the video camera are acquired, wherein the videos are the videos which are simultaneously recorded and include different perspectives; differenceoperation is performed on the video frame images of the video frame image sequences so as to acquire the parameters of the moving object in the videos; and the moving object is tracked and displayed according to the acquired parameters of the moving object. According to the video tracking method applied to the video camera, the video frame image sequences of the videos recorded by the video cameraare acquired, the videos are the videos which are simultaneously recorded and include different perspectives, difference operation is performed on the video frame images of the video frame image sequences to acquire the parameters of the moving object in the videos and the moving object is tracked and displayed according to the acquired parameters of the moving object so that the objective of thevideo camera for detecting or tracking of the moving object in the recorded videos can be realized.