Online Tracking Method for Specified Pedestrians in Cross-Camera Scenarios
A cross-camera and camera technology, applied in the field of intelligent security, can solve the problems of not being able to learn, not be able to track, and not be satisfied, etc., to achieve the effect of eliminating the limitations of pedestrians entering and exiting the area, improving practicability, and solving limitations
Active Publication Date: 2022-03-08
FUZHOU UNIV
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Problems solved by technology
For most of the current cross-camera pedestrian tracking algorithms, the ability to learn pedestrian features is limited, and more robust pedestrian features cannot be learned.
Therefore, it ultimately affects the accuracy of the subsequent pedestrian similarity measurement, which eventually leads to unsatisfactory data association results.
So it is difficult to adapt to the complex environment of cross-camera pedestrian tracking
[0005] Although the existing cross-camera pedestrian tracking related research can effectively solve some pedestrian tracking for offline data, it cannot meet the requirements for real-time online tracking, and it cannot be effective when unknown pedestrians enter and exit the area. track
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[0045] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0046] Aiming at the above-mentioned common limitations existing across cameras at present, the present invention proposes a method of using a twin neural network to solve the online extraction of pedestrian features and complete the similarity measurement for a pair of target pedestrians. Based on the above analysis of the existing technology, the deep convolutional twin network is trained, and the online extraction of pedestrian features and the correlation matching between target pedestrians are realized through the twin network; the method of dividing the camera area into inner circle and outer circle solves the need for preset Determine the problem of pedestrians entering and exiting the area.
[0047] The present invention proposes an online tracking method for designated pedestrians in a cross-camera scene, such as figure 1 shown,...
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The invention relates to a method for online tracking of designated pedestrians in a cross-camera scene. By marking interested pedestrians in any camera field of view, a tracker is created and initialized according to the obtained basic information; when the designated pedestrian leaves the current camera field of view, Set the pedestrian state to pending detection and wait for the next pedestrian data association operation; when a new pedestrian enters the tracking field of view, the pedestrian in the suspended state and the new target pedestrian will be judged by the association algorithm whether they belong to the same pedestrian; According to the data association algorithm based on deep learning, the similarity value of two target pedestrians is obtained. When the similarity value is greater than the threshold, the corresponding tracker is updated, and then the complete trajectory of the target pedestrian of interest in the entire camera network is obtained. The invention proposes an online tracking method for designated pedestrians in a cross-camera scene, which improves the practicability and accuracy of target tracking in non-overlapping visual field areas in a multi-camera scene.
Description
technical field [0001] The invention relates to the field of intelligent security, in particular to an online tracking method for designated pedestrians in a cross-camera scene. Background technique [0002] With the continuous development of the economy, people's demand for safety is increasing day by day. Therefore, the application range of intelligent surveillance video in the field of security is constantly expanding, and related video intelligent processing technologies such as pedestrian tracking and retrieval have become the focus of current research. Its research scope extends from the traditional technology only for single-camera application scenarios to multi-camera application scenarios, and the research object has evolved from the previous single pedestrian to the need to process multiple pedestrians at the same time. At present, the pedestrian tracking technology under a single camera is relatively mature, but the existence of blind spots in multi-camera, espec...
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IPC IPC(8): G06T7/20
CPCG06T7/20G06T2207/30196G06T2207/10016G06T2207/20084
Inventor 余春艳钟诗俊
Owner FUZHOU UNIV