Multi-target Tracking Algorithm with Multi-level Constraints

A tracking algorithm and multi-target technology, applied in the field of visual multi-target tracking algorithm, can solve the problems of inability to provide accurate and robust

Active Publication Date: 2020-04-03
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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Problems solved by technology

[0007] In order to overcome the deficiency that the existing multi-target tracking algorithm cannot provide accurate and robust results, the present invention proposes a visual multi-target tracking algorithm based on multi-level constraints

Method used

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  • Multi-target Tracking Algorithm with Multi-level Constraints
  • Multi-target Tracking Algorithm with Multi-level Constraints
  • Multi-target Tracking Algorithm with Multi-level Constraints

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0050] A multi-level constraint multi-target tracking algorithm of the present invention such as figure 1 As shown, the implementation steps are as follows:

[0051] 1. Generate trace fragments

[0052] The detection result of the video sequence is converted into a graphical model, and the graphical model algorithm is used to solve it to obtain the corresponding tracking segment. The basic process is: according to the IOU (the ratio of the intersection and union of the positions of the two detection objects), the threshold value of the present invention is 0.3, and the obtained Find out the possible position of the detection object in the previous frame of the current target, and construct a graph model; then, initialize the node data corresponding to the detection object ...

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Abstract

The present invention provides a multi-target tracking algorithm based on multilayer restriction. The multi-target tracking algorithm comprises: employing a simple strategy to rapidly obtain tracking segments, employing vision information to perform correction and segmentation of all the tracking segments, converting a result to a graph model about the tracking segments for solution, employing high-level semantic information of the result obtained through solution to perform further correction, and obtaining a final tracking target track. The multilayer restriction multi-target tracking algorithm fully employs the vision feature of a tracking target to perform restriction layer by layer from shallow to deep so as to solve the problem that an accurate result is difficult to obtain because a current method is difficult to fully employ the vision feature and allow the tracking result to be accurate.

Description

technical field [0001] The invention belongs to the technical fields of computer vision and graphics processing, and in particular relates to a visual multi-target tracking algorithm based on multi-level constraints. Background technique [0002] The multi-level constraint multi-target tracking algorithm can link the detection objects in different frames under the given video sequence, so as to obtain the motion trajectories of different objects; the multi-target tracking algorithm based on visual information is very important for the detection Abnormal vehicles and pedestrians, etc., avoiding potential powder lines, have important theoretical and practical significance for the analysis of crowded scenes and abnormal behavior detection of surveillance video. [0003] According to the different ways of using video data, the existing visual multi-target tracking algorithms can be roughly divided into: offline multi-target algorithm and online multi-target algorithm. [0004] ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06T7/215G06T7/277G06T7/292
CPCG06T7/136G06T7/215G06T7/277G06T7/292
Inventor 王琦李学龙张星宇
Owner NORTHWESTERN POLYTECHNICAL UNIV
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