Cross-camera multi-target tracking method for warehouse scene

A multi-target tracking, cross-camera technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of increased tracking algorithm overhead, insufficient target appearance discrimination, loss of target tracking, etc., to improve robustness, The effect of optimizing detection performance and improving tracking efficiency

Pending Publication Date: 2021-04-06
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In summary, the present invention finally solves the following problems: 1) target identity switching due to insufficient target appearance discrimination; 2

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  • Cross-camera multi-target tracking method for warehouse scene
  • Cross-camera multi-target tracking method for warehouse scene
  • Cross-camera multi-target tracking method for warehouse scene

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Example Embodiment

[0031]The present application examples are described in detail below with reference to the accompanying drawings.

[0032]It should be clear that the described embodiments are merely the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor premise are the scope of the present application.

[0033]The terms used in the present application examples are only for the purposes of describing particular embodiments, not intended to limit the application. "One", "one", "one", "one", "" ",", "" ",", "," and "" ", used in the present application embodiment and the appended claims, are also intended to include many forms unless the context clearly represents other meanings.

[0034]Such asfigure 1 As shown, the embodiment of the present invention provides a multi-target tracking method for a span-to-warehouse scene, mainly including multi-channel...

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Abstract

The invention discloses a cross-camera multi-target tracking method for a warehouse scene. The method mainly comprises three parts of target detection, multi-target tracking and trajectory mapping. The target detector achieve accurate detection under the scene that the targets are mutually shielded; the multi-target tracker can predict the position of each target in the current frame based on the target template frame; The method includes: updating a target state and tracking pool information by optimally matching the detection frame and the multi-target tracking frame; achieving cross-camera tracking of the target based on the appearance characteristics of the target by utilizing the space-time relationship between the cameras; and mapping the target trajectory to a unified warehouse map through a projection mapping technology so as to visualize the tracking process. According to the method, robust cross-camera detection and tracking in a warehouse scene can be achieved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a warehouse scene-oriented cross-camera multi-target tracking method. Background technique [0002] In recent years, the advancement of computer vision and artificial intelligence (AI) technology has driven the rapid development of the security industry. There are more and more cameras, and AI smart applications based on cameras are rapidly expanding. Enterprises' demand for intelligent cameras is rapidly increasing. increase. Among the many tasks of computer vision, target tracking tasks are widely used in the field of surveillance video, the most common ones are pedestrian tracking, vehicle tracking, etc. [0003] Target tracking technology has been developed in the field of computer vision for many years, and can be divided into two main categories according to different tracking tasks: 1. Single camera single target tracking. 2. Single camera multi-target tracking. 3. Multi-...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/73G06K9/62
CPCG06T7/246G06T7/73G06T2207/10016G06T2207/30241G06T2207/20081G06V10/751G06V2201/07
Inventor 张森镇周韬吴均峰陈积明史治国贺诗波
Owner ZHEJIANG UNIV
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