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Proceedings Paper

PSO based Gabor wavelet feature extraction and tracking method
Author(s): Hongguang Sun; Qian Bu; Huijie Zhang
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Paper Abstract

The paper is the study of 2D Gabor wavelet and its application in grey image target recognition and tracking. The new optimization algorithms and technologies in the system realization are studied and discussed in theory and practice. Optimization of Gabor wavelet's parameters of translation, orientation, and scale is used to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space, we adopt PSO (particle swarm optimization) algorithm to identify points on the security border of the system, it can ensure reliable convergence of the target, which can improve convergence speed; the time of feature extraction is shorter. By test in low contrast image, the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. Adopting improve Gabor wavelet method in target tracking and making up its frame of tracking, which realize moving target tracking used algorithm, and realize steady target tracking in circumrotate affine distortion.

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, 71602W (3 February 2009); doi: 10.1117/12.808065
Show Author Affiliations
Hongguang Sun, Northeast Normal Univ. (China)
Changchun Univ. of Science and Technology (China)
Qian Bu, Northeast Normal Univ. (China)
Huijie Zhang, Northeast Normal 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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