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Appearance feature updating method and system for multi-target tracking in dense crowd scene

A multi-target tracking and dense crowd technology, applied in the field of appearance feature update of multi-target tracking, can solve the problem of inaccurate target tracking and achieve the effect of improving accuracy

Pending Publication Date: 2022-04-19
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for updating appearance features of multi-target tracking in dense crowd scenes, so as to solve the problem of inaccurate tracking of targets by multi-target tracking methods in the prior art

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  • Appearance feature updating method and system for multi-target tracking in dense crowd scene
  • Appearance feature updating method and system for multi-target tracking in dense crowd scene
  • Appearance feature updating method and system for multi-target tracking in dense crowd scene

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to 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 making creative efforts belong to the protection scope of the present invention.

[0044] The object of the present invention is to provide a method and system for updating appearance features of multi-target tracking in dense crowd scenes, so as to solve the problem of inaccurate tracking of targets by multi-target tracking methods in the prior art.

[0045] In the present invention, considering that mutual occlusion between people or people being occluded by the environment is a relatively common phenomenon in a dense crowd scene, only the ...

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Abstract

The invention relates to an appearance feature updating method and system for multi-target tracking in a dense crowd scene, and the method comprises the steps: obtaining a current frame image, and obtaining a detection frame of a plurality of targets in the current frame image; performing feature extraction on the targets in the plurality of detection frames, and determining appearance features of the plurality of targets in the current frame image and motion features of the plurality of targets in the current frame image; determining a cost matrix according to the extracted features; judging whether the previous frame target is successfully matched with the current frame target by using the cost matrix; if yes, updating the appearance characteristics of the current frame target according to the distribution weight; and if not, not updating the appearance characteristics of the current frame target. According to the invention, the appearance features are updated by using the distribution weights, so that the accuracy of multi-target tracking is improved.

Description

technical field [0001] The present invention relates to the field of multi-target tracking, in particular to a method and system for updating appearance features of multi-target tracking in dense crowd scenes. Background technique [0002] Multi-target tracking has always been a hot issue in the field of computer vision research, and multi-target tracking in dense scenes is a very challenging task. Since in dense scenes, mutual occlusion between targets and targets being occluded by the surrounding environment are very common, how to keep the identity of the target unchanged and accurately track it after the target is occluded is still a difficult problem . From an application point of view, in actual industrial application scenarios such as intelligent traffic monitoring and unmanned driving, tracking multiple targets in dense scenes is also a very common task. The task of multi-object tracking is mainly divided into locating multiple objects, maintaining their identities...

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Application Information

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IPC IPC(8): G06V20/40G06V10/40G06K9/62G06V10/74
CPCG06F18/22
Inventor 梁栋徐标异权荣高攀李铃杜云
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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