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Target tracking method based on space coupling relation and historical model

A historical model and target tracking technology, applied in the field of target tracking, can solve problems such as difficulty in determining the real position of the target, inability to adapt to environmental changes, and target drifting to the background area

Inactive Publication Date: 2016-11-16
ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To sum up, the existing target tracking algorithms are prone to the problem of target drifting to the background area. Therefore, it is difficult to determine the real position of the target and cannot adapt to various environmental changes.

Method used

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  • Target tracking method based on space coupling relation and historical model
  • Target tracking method based on space coupling relation and historical model
  • Target tracking method based on space coupling relation and historical model

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Embodiment Construction

[0050] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0051] A target tracking method based on spatial coupling relationship and history model, comprising the following steps:

[0052] Step 1. Using multiple instance learning (MIL) tracking algorithm as the basic tracking model, establish a MIL model for the tracking target, and continuously update the MIL model during the tracking process to adapt to changes in the target or the environment. At the same time, the MIL model uses the idea of ​​a classifier to take background information into the model, so that the algorithm can deal with model drift more effectively.

[0053] The specific implementation method of this step is:

[0054] (1), construct Haar feature set F={f 1 ,..., f d}, contains a total of d features, and selects a set of image blocks And calculate the feature value of each image block;

[0055] (2), use the constructed MIL model ...

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Abstract

The invention relates to a target tracking method based on a space coupling relation and a historical model. The main technical features are that a MIL model is established and is continuously updated in the tracking process; a target model pool is formed using the historical state of a tracking target; an optimal target model is selected according to a current frame and a target position is estimated; key points in a surrounding area of a target are detected, and a target position is predicted using space related information; and the target position estimated by the optimal model and the target position predicted by the space related information are fused to obtain a final target position. The design is reasonable, a multiple-instance learning tracking algorithm is taken as a basic tracking model, a group of target historical models are stored, and space context information is combined to assist tracking, and thus the invention achieves the excellent tracking effect, can deal with various environmental change conditions, and has good robustness and strong extendibility.

Description

technical field [0001] The invention belongs to the technical field of target tracking, in particular to a target tracking method based on a spatial coupling relationship and a historical model. Background technique [0002] Object tracking is one of the hottest research directions in the field of computer vision, and it plays a vital role in video surveillance, autonomous driving, human-computer interaction and virtual reality. After decades of research, many target tracking algorithms have been proposed, and great progress has been made. However, due to many factors, object tracking is still difficult to be applied to practical scenarios. [0003] Partial occlusion, full occlusion or background noise will cause the model to drift into the background, seriously affecting the performance of the tracking algorithm. The tracking algorithm constructed using the classifier idea can effectively deal with partial occlusion, illumination changes and background noise because the b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/20081
Inventor 何珂王强周芸
Owner ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION
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