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Robust tracking method for moving flame target in forest region monitoring video

A technology of monitoring video and tracking algorithm, which is applied in the field of forest fire prevention and digital image processing, can solve the problem of tracking deviation from the real target, and achieve the effects of overcoming discontinuity, reducing requirements, and improving algorithm efficiency

Active Publication Date: 2012-11-21
武汉万德智新科技股份有限公司
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Problems solved by technology

If it is handled well, even if the initial area is not accurate enough, the tracking process will gradually approach the real forest fire target; otherwise, the non-flame scattered pixels mixed in the flame will cause the tracking to gradually deviate from the real target

Method used

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  • Robust tracking method for moving flame target in forest region monitoring video

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Embodiment Construction

[0040] Below in conjunction with accompanying drawing, the present invention will be further described with specific embodiment:

[0041] 1. Use the multi-feature fusion model of related elements to jointly determine the weight to characterize the tracking target

[0042] The present invention uses color features, shape features and texture features to build a multi-feature fusion model, and considers the joint action of related elements in the calculation of feature weights, that is, finds all elements that are greater than the average value of the Barthel coefficient between the feature candidate template and the target template , and then calculate feature weights based on these elements, the process is:

[0043] (1)

[0044] in for the first The number of elements corresponding to a feature, for the first feature No. The Bhattachary coefficient of elements, for the first The mean value of the Bhattachary coefficient of ...

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Abstract

The invention relates to the fields of forest fire prevention and digital image processing, in particular to a robust tracking method for a moving flame target in a forest region monitoring video. The method comprises the following steps of: representing a tracking target by using a multi-feature fusion model of which the weight is determined together by using coherent elements; handling the problem of discontinuity in a region through target probability based element weight adjustment in the tracking region; acquiring shape change of a forest fire target in a current frame by using a Gaussian mixture model probability based improved Mean Shift window adaptive algorithm; obtaining a new position of the forest fire target in the current frame by using an improved particle filter tracking algorithm based on flame pixel proportion in the region; realizing robust tracking of the forest fire target by using a new tracking algorithm combined with an improved particle filter and an improved Mean Shift; and recognizing combination and division of the flame in the forest region during motion to realize the tracking of a plurality of forest fire targets. Compared with the conventional tracking algorithm aiming at the forest fire target, the method has the advantages of higher tracking accuracy and higher robustness on the premise of guaranteeing real-time property.

Description

technical field [0001] The invention relates to the technical fields of forest fire prevention and digital image processing, in particular to a robust tracking method for a moving flame target in a forest surveillance video. Background technique [0002] The automatic recognition of forest flames is the core scientific research problem of forest fire prevention video surveillance system. Dynamic features are an important basis for judging forest fire targets and analyzing forest fire behavior, and the calculation of dynamic features depends on the accurate tracking of forest fires in video image sequences. In addition to the characteristics of complex scenes, uncertain shapes, continuous changes, and occlusion, flames in forest areas may also split and merge as they burn. In addition, the forest fire has a unique property: the interior of the target area is not continuous, and the flame is mixed with non-flame discrete pixels caused by insufficient combustion. Therefore, co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/20
Inventor 赵俭辉熊露章登义袁志勇
Owner 武汉万德智新科技股份有限公司
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