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A multi-target tracking method

A multi-target tracking and target technology, applied in the field of image processing and pattern recognition, to achieve the effect of simplifying data association, solving uncertainty, and reducing the amount of calculation

Inactive Publication Date: 2019-01-11
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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  • Claims
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Problems solved by technology

[0005] Aiming at the problems of accurate tracking and large amount of computation existing in the existing multi-target tracking method, the embodiment of the present invention proposes a multi-target tracking method based on the particle filter of the probabilistic graph model

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Embodiment Construction

[0029] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0030] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a particular order or sequence. It is to be understood that the terms so used are interchangeable under appropriate c...

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Abstract

The embodiment of the invention discloses a multi-target tracking method based on particle filter of a probability graph model. The multi-target tracking method includes steps of initialization, statetransition, weight calculation, probability graph model reasoning, state estimation and resampling. In this multi-target tracking method, the data association theory of probability graph model is introduced into the target tracking framework based on particle filter, so that the uncertainty of multi-target tracking can be effectively solved. Moreover, the multi-target tracking model is represented as a non-phase diagram model, and the graph model reasoning method is used to solve the multi-target tracking problem, which not only simplifies the data association in multi-target tracking and reduces the computational load, but also can deal with the occlusion problem among many targets.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a multi-target tracking method based on particle filter of probability graph model. Background technique [0002] Multi-target tracking suppression is a research hotspot in the field of target tracking, especially the tracking of multiple targets in complex environments. In recent years, particle filter has become the mainstream tracking method in the field of object tracking. In multi-target tracking, there are many uncertain factors among background modeling, moving target detection, target feature extraction, matching recognition and multi-target association, so the tracking method of particle filter cannot be used for multi-target tracking. Good handling of the interrelationships between the various goals leads to the inability to achieve accurate tracking of the goals. [0003] At present, in order to solve the problem of the particle filte...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/277
CPCG06T7/277G06T2207/20076
Inventor 任航高明合宋玉龙孙辉刘博超
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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