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Cross-camera tracking method for multiple moving targets

A multi-moving target, cross-camera technology, applied in the field of multi-moving target tracking, can solve the problem that the target movement track cannot be realized under cross-camera

Active Publication Date: 2012-11-14
ZHEJIANG E VISION ELECTRONICS TECH
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  • Description
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AI Technical Summary

Problems solved by technology

Although both types of methods have certain advantages for specific tracking problems, the existing methods cannot realize the association of target motion trajectories under cross-camera

Method used

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  • Cross-camera tracking method for multiple moving targets
  • Cross-camera tracking method for multiple moving targets

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Embodiment Construction

[0029] The core technology of cross-camera moving target tracking includes two parts: motion analysis of the target in the monocular camera and cross-camera motion correlation.

[0030] 1. Motion filtering for single camera

[0031] The purpose of the attention target motion filter in a single camera is to extract the movement trajectory of the target in the area covered by the monocular camera, which is the premise of cross-camera moving target tracking. Due to the randomness of human motion trajectories and the complexity of target directions caused by multi-view situations, a motion filtering method for multi-motion trajectories fusion is proposed. The idea of ​​this motion filtering method is to decompose the complex motion of the human body into a limited number of relatively simple motion filtering models, where each single motion filtering model can be represented by a combination of linear motion state transition models and Gaussian noise. Therefore, the proposed moti...

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Abstract

The invention relates to image process, motion analysis and the like. In order to implement cross-camera tracking of moving targets, the invention uses the technical scheme that the cross-camera tracking method for the multiple moving targets comprises the following steps of: 1, motion filtering for a single camera, specifically, decomposing complex motions of human body into a finite number of combinations of relatively simple motion filtering models, wherein each single motion filtering model is represented by a combination of a linear motion state transition model and a gaussian noise, andthe motion filtering method comprises the two following core parts: a motion model: an observation model; zk = Hsk + wk2, cross-camera oriented motion association: (1) creation of a panorama; (2) target similarity measurement; (3) motion trail association; and transforming the problem of cross-camera association of multiple motion trails into the problem of matching of bipartite graphs, and solving the problem through the integer programming under the following constraint conditions. The cross-camera tracking method for the multiple moving targets is mainly used in the image processing, the motion analysis and the like.

Description

technical field [0001] The invention relates to image processing, motion analysis, etc., and specifically relates to a multi-camera multi-moving target tracking method. Background technique [0002] With the increasing attention of the international community to security issues and the wide application of IP network-based monitoring systems, multi-camera monitoring has become the current mainstream mode, especially the situation where there are overlapping areas between the camera's field of view is a research hotspot. In multi-camera monitoring, it is necessary to associate the same target appearing in multiple perspectives on the basis of traditional single-camera target detection. Therefore, cross-camera moving target tracking has become a key technology for multi-camera monitoring systems, and it is the follow-up target behavior. The basis for operations such as analytics and object recognition. The problem of target tracking mainly faces two problems: one is occlusion,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/20
Inventor 刘安安苏育挺
Owner ZHEJIANG E VISION ELECTRONICS TECH
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