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Proceedings Paper

Targets tracking relating method based on fuzzy reasoning and wavelet energy detection
Author(s): Gang Liu; Yao-wu Shi
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Paper Abstract

Targets tracking methods based digital image are used widely. During the process of multi-targets tracking, when the targets falling in the tracking door are not only one, joint data association is used as a traditional method. But there is so much operation in this method that the need of real time can not be meet. Targets tracking relating method based on fuzzy reasoning and expending Kalman filter is adopted in this paper. Firstly, wavelet energy is adopted to detect targets in the image. The wavelet of bior1.3 is used to decompose image. It is anti-symmetric wavelet and is fit for detecting variational information in horizontal and vertical direction. Because the detected image generally have natural texture background, such as sea, sky, and so on. The targets have high frequency characteristic at horizontal and vertical direction in these images, but the background has high frequency characteristic at one of the two direction. The wavelet energy of targets at two direction go beyond that of background. Then through selecting self-adaptive threshold, targets and background can be divided. By the method of figure centers distance classifying, the figure centers of every target can be calculated. Secondly, Targets figure-center coordinate is detecting through self-adapting figure-center filter. Thirdly, fuzzy reasoning method is used in the progress of data relating. It is easy in engineering application compared with the JPDA arithmetic. In the experiment, after several frames relating, the mean square error of row coordinate reduce from 0.278 to 0.148. The errors of multi-targets figure-center coordinate gradually decrease. The forecast veracity gradually increase.

Paper Details

Date Published: 3 February 2009
PDF: 8 pages
Proc. SPIE 7160, 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, 71601C (3 February 2009); doi: 10.1117/12.804802
Show Author Affiliations
Gang Liu, Jilin Univ. (China)
Air-force Aviation Univ. (China)
Yao-wu Shi, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 7160:
2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications

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