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Video object tracking method based on self-adaptive measurement matrix

A technology of measurement matrix and target tracking, applied in the field of video target tracking system, to achieve the effect of promoting processing speed

Inactive Publication Date: 2015-01-21
YUNNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual complex application scenarios, various factors such as illumination changes, shadows, occlusions, sudden changes in motion, and background chaos have brought great challenges to video object tracking technology.

Method used

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  • Video object tracking method based on self-adaptive measurement matrix
  • Video object tracking method based on self-adaptive measurement matrix
  • Video object tracking method based on self-adaptive measurement matrix

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Embodiment Construction

[0038] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be regarded as isolated, and they can be combined with each other to achieve better technical effects. In the drawings of the following embodiments, the same reference numerals appearing in the drawings represent the same features or components, which can be applied in different embodiments.

[0039] like figure 1 As shown, a video target tracking method based on adaptive measurement matrix, the steps include:

[0040] selected tracking area;

[0041] constructing an adaptive measurement matrix required for compressed sensing sampling according to the selected tracking area;

[0042] calculating parameters corresponding to all non-zero elements in said adaptive measurement matrix;

[0043] Construct a naive Bayesian cla...

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Abstract

The invention discloses a video object tracking method based on a self-adaptive measurement matrix. The method comprises the first step of selecting a tracking region, the second step of establishing the self-adaptive measurement matrix required by a compressed sensing sample according to the selected tracking region, the third step of calculating parameters corresponding to all nonzero elements in the self-adaptive measurement matrix, the fourth step of establishing a naive Bayesian classifier H as a target classifier for a target to be tracked, and initializing the target classifier, the fifth step of inputting a new video frame, evaluating compression measurement vectors of candidate targets according to the target classifier and then determining a tracking result, the sixth step of updating the target classifier according to the tracking result, and the seventh step of judging whether tracking needs to be continued according to whether a subsequent video frame exists. By means of the method, a more accurate and quicker tracking result can be obtained.

Description

technical field [0001] The invention relates to a video target tracking system, in particular to a video target tracking method based on an adaptive measurement matrix. Background technique [0002] Video target tracking refers to the analysis of the motion parameters and trajectory of a specific target of interest from the sequence of video frames, such as the position, size, shape, speed, acceleration, etc. It is one of the core tasks of the computer vision system, and has broad application prospects in many fields such as intelligent video surveillance, human-computer interaction, medical diagnosis, and robot navigation. However, in actual complex application scenarios, various factors such as illumination changes, shadows, occlusions, sudden changes in motion, and background chaos have brought great challenges to video object tracking technology. In order to meet the various needs of practical application fields, accurate and fast video object tracking technology has be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06K9/62
CPCG06T7/20G06T2207/10016G06F18/24155
Inventor 高赟周浩张学杰
Owner YUNNAN UNIV
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