Video frequency motion target adaptive tracking method based on multicharacteristic information fusion

An adaptive tracking and moving target technology, applied in image data processing, instruments, computing, etc., can solve the problems of insufficient use of complementary information of color and edge features, unreliable information, tracking failure, etc., to achieve broad market prospects and applications value, improve search efficiency, and improve reliability

Inactive Publication Date: 2005-05-25
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

At present, most of the tracking methods based on multi-feature information fusion adopt fixed weights for each feature when fusing each feature information. If it remains unchanged, the fused information will be unreliable, and using this information to track the target will lead to unsatisfactory tracking effect, or even tracking failure
However, this method does not consider the situation when the target color changes significantly and does not make full use of the complementary information between color and edge features, so this method often becomes inapplicable in practical applications due to dynamic changes in the scene

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  • Video frequency motion target adaptive tracking method based on multicharacteristic information fusion
  • Video frequency motion target adaptive tracking method based on multicharacteristic information fusion
  • Video frequency motion target adaptive tracking method based on multicharacteristic information fusion

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Embodiment Construction

[0020] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0021] figure 1 It is an overall block diagram of a video moving target adaptive tracking method based on multi-feature information fusion proposed by the present invention. The specific implementation details of each part are as follows:

[0022] figure 1 (a) Weighted fusion block diagram of color and shape information

[0023] 1. Color information

[0024] When describing the target color distribution, the method of color histogram with spatial position information is adopted. This method considers the spatial position information of pixels, so the description of color distribution is more robust. If the center position of the known target area (elliptical area) is x=(x, y); the radius is h=(h x , h y ), h x 、h y are the long axis and short axis of th...

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Abstract

The video moving target self-adaptive tracking method based on multiple characteristic information fusion can be extensively used in computer vision, image processing and mode identification field. Said method includes the following steps: firstly, extracting characteristic information of target, then utilizing fuzzy logic method to make self-adaptive fusion of various characteristic informations, using fused information to describe observation information of target, finally adopting genetic algorithm with heuristic search function to find out candidate target most similar to target template observation information in current image target candidate zone.

Description

technical field [0001] The invention relates to an adaptive tracking method used in the technical field of image processing, in particular to an adaptive tracking method for video moving targets based on multi-feature information fusion. Background technique [0002] Video object tracking is a research hotspot in the fields of computer vision, image processing and pattern recognition. Real-time and accurate tracking of targets in video images has broad application prospects in both civilian and military applications. There have always been some difficulties in video target tracking, such as: the characteristics of the target change significantly during tracking, the target is occluded during tracking, various disturbances in the background image, and so on. In response to these difficulties, scholars at home and abroad have proposed many tracking methods, including Kalman filter, Condensation, MeanShift, and CamShift, etc., but most of them use the single feature informatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/20
Inventor 敬忠良李安平胡士强
Owner SHANGHAI JIAO TONG UNIV
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