[1]HAN Hua,DING Yongsheng,HAO Kuangrong.An immune particle filter video tracking method based on color and wavelet texture[J].CAAI Transactions on Intelligent Systems,2011,6(4):289-294.
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An immune particle filter video tracking method based on color and wavelet texture

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 4 Page number: 289-294 Column: 学术论文—智能系统 Public date: 2011-08-25
Title:
An immune particle filter video tracking method based on color and wavelet texture
Author(s):
HAN Hua1;  DING Yongsheng1; 2;  HAO Kuangrong1; 2
1. College of Information Sciences and Technology， Donghua University, Shanghai 201620, China；
2.Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Shanghai 201620, China
Keywords:
particle filter;  immune particle filter;  wavelet texture;  similarity measurement
CLC:
TP277
DOI:
-
Abstract:
Focusing on the drawbacks of standard particle filters in visual tracking, a new immune particle filter was proposed based on color and wavelet texture feature to avoid “sample impoverishment” and incomplete feature. Since the wavelet feature was added, the poor performance of only one feature was improved when the environment changed. In addition, the proposed immune optimization algorithm improved the diversity of particles, especially the decline of the impact of sample impoverishment when occlusion occurs. At last, the effectiveness and robustness of the proposed method was verified by experiments. In contrast to the single feature tracking method, the proposed method can track targets with complex backgrounds more steadily.
References:
［1］ISARD M, BLAKE A. Condensationconditional density propagation for visual tracking［J］. International Journal of Computer Vision, 1998, 29(1): 528. 
［2］NUMMIARO K, KOLLERMEIER E, Van GOOL L. An adaptive colorbased particle filter［J］. Image and Vision Computing, 2003, 21(1): 99110.
［3］田卉，沈庭芝，赵三元，等.综合颜色和纹理特征的粒子滤波人脸跟踪算法［J］.北京理工大学学报, 2010, 30(4): 469473.
TIAN Hui, SHEN Tingzhi, ZHAO Sanyuan, et al. Face tracking algorithm combing color and texture features based on particle filter［J］. Transactions of Beijing Institute of Technology, 2010, 30(4): 469473. 
［4］SCHONFELD H K. Fast object tracking using adaptive block matching［J］. IEEE Transactions on Multimedia, 2005, 7(5): 853859.
［5］QU W, SCHONFELD D. Realtime distributed multiobject tracking using multiple interactive trackers and a magneticinertia potential model［J］. IEEE Transactions on Multimedia, 2007, 9(3): 511519.
［6］ARULAMPALAM M S, MASKELL S, GORDON N, et al. A tutorial on particle filters for online nonlinear/nonGaussian Bayesian tracking［J］. IEEE Transactions on Signal Processing, 2002, 50(2): 174188.
［7］LIU J S. Metropolized independent sampling with comparison to rejection sampling and importance sampling［J］. Statistics and Computing, 1996, 6(2): 113119.
［8］KONG A, LIU J S, WONG W H. Sequential imputations and Bayesian missing data problems［J］. Journal of the American Statistical Association, 1994, 89(425): 278288.
［9］LIU J S, CHEN R, Sequential Monte carlo Methods for dynamic systems［J］. Journal of the American Statistical Association, 1998(93): 10321044.
［10］丁永生，刘宝，任立红，等. 基于生物网络的智能控制与优化［M］. 北京：科学出版社， 2010， 1: 6369.
［11］HUANG S J. Enhancement of thermal unit commitment using immune algorithms based optimization approaches［J］. International Journal of Electrical Power & Energy Systems, 1999, 21(4): 245252.
［12］MANESH K P K, BISWAS B N, Chatterji. Texture image retrieval using new rotated complex wavelet filters［J］. IEEE Transactions on Systems, Man and Cybernetics, 2005, 35(6): 11681178.
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