Multi-pedestrian cross-camera online tracking system

A cross-camera and tracking system technology, applied in instruments, biological neural network models, calculations, etc., can solve the problems of easy loss of cross-camera target tracking, and achieve the effect of improving accuracy and accuracy

Active Publication Date: 2020-02-28
广州海格星航信息科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present invention provides a multi-pedestrian cross-camera online tracking system to solve the problem that cross-camera target tracking is easily lost due to ex

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0041] See Figure 1-3 , the embodiment of the present invention provides a multi-pedestrian cross-camera online tracking system, including:

[0042] Pedestrian detection module 1 is used for real-time detection of pedestrians in the video picture acquired by the camera, and returns pedestrian detection information in real time; wherein, the pedestrian detection information includes detection frame, pedestrian Id and pedestrian eigenvalue;

[0043] The human body re...

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Abstract

The invention discloses a multi-pedestrian cross-camera online tracking system. The system comprises a pedestrian detection module, a human body recognition module, a face recognition module, a targetscreening module, a multi-camera target fusion module and a cross-camera target feature collection module. According to the invention, face recognition and human body recognition technologies are fused, so that the recognition accuracy is improved; meanwhile, the spatial position points of historical tracks are fused under the condition of camera crossing to improve the accuracy of pedestrian recognition. Face recognition and spatial position data are fused in the human body recognition technology, the human body recognition result is corrected in real time, the problems that in the prior art, only a single recognition technology is adopted for tracking, a target is prone to being lost, and recognition errors are prone to occurring are solved, and therefore the accuracy of the multi-pedestrian online tracking technology can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of camera tracking, in particular to an online tracking system for multiple pedestrians across cameras. Background technique [0002] At present, machine vision is now widely used in the video surveillance industry, and real-time target tracking has also become one of the applications. By analyzing the real-time images of multiple cameras (pedestrian re-identification and face recognition), through various data fusion strategies (pedestrian movement speed, face recognition results, similarity threshold, etc.) to improve the recognition accuracy of pedestrian targets, In this way, pedestrian targets can be tracked online across cameras. [0003] Existing online tracking technologies suffer from the following problems: [0004] 1) In the actual monitoring scene, the background is complex, the pedestrian targets are highly dense, and they occlude each other, which leads to missed detection and false detection...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/161G06V40/103G06N3/045
Inventor 杨军峰林钢鑫朱贵冬李欢
Owner 广州海格星航信息科技有限公司
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