Multi-camera multi-target tracking method

Abstract

The invention discloses a multi-camera multi-target tracking method. The multi-camera multi-target tracking method comprises the steps of collecting an initial track fragment set collected by multiplecameras; carrying out equalization processing on the trajectory fragment similarity distribution of the initial trajectory fragment set to obtain a pre-processed trajectory fragment set; and based onthe pre-processed track segment set, fusing each pre-processed track segment to obtain a complete track of each target, and completing the multi-camera multi-target tracking. According to the invention, by adopting a one-step walking idea, the track segments under the plurality of cameras are put together for track fusion; moreover, when all the tracks are fused, the equalization processing is carried out on the similarity distribution of all the track segments, so that the similarity of all the track segments corresponding to the single target is ensured to be at the same level, the efficiency and the effectiveness of multi-camera multi-target tracking are improved, and the problem that the accumulated errors exist when the single camera track segment fusion is firstly carried out and then the cross-camera track fusion is carried out, is solved to a certain extent.

Description

technical field [0001] The invention belongs to the technical field of target tracking, in particular to a multi-camera and multi-target tracking method. Background technique [0002] Accurate target tracking results allow the system to analyze target trajectories and behaviors more accurately, and help identify and retrieve specific targets. Due to the needs of actual large-scale surveillance scenarios, multi-camera-based multi-target tracking methods have attracted more and more researchers' attention in the past decade. Multi-camera object tracking refers to the joint analysis of the data under the multi-camera to obtain the trajectories of all the objects of interest under the multi-camera. Multi-camera object tracking can effectively solve the problem of limited field of view of a single camera. At the same time, the simultaneous tracking of multiple targets can realize real-time automatic monitoring within the scope of the whole scene, and analyze the trajectory and ...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a multi-camera multi-target tracking method, which is used to solve the problem that there is a large cumulative error when the single-camera track segment fusion is performed first and then the cross-camera track fusion is performed in the existing cross-camera target tracking. The technical problem of low fusion accuracy due to the low resolution of

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