Optics and Precision Engineering, Volume. 17, Issue 9, 2321(2009)

Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter

LI Chun-xin1、* and WANG Xiao-tong2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(22)

    [1] [1] HAGER G D,DEWAN M,STEWART C V. Multiple kernel tracking with SSD[C].Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2004:790-797.

    [2] [2] NUMMIARO K,KOLLER-MEIER E,SVOBODA T,et al.. Color-based object tracking in multi-camera environments[C].Proceedings of the 25th Pattern Recognition Symposium DAGM,2003:591-599.

    [3] [3] LI P H,CHAUMETTE F,TAHRI O. A shape tracking algorithm for visual servoing[C]. Proceedings of IEEE International Conference on Robotics and Automation,2005:2858-2863.

    [4] [4] BARRON J L,FLEET D J,BEAUCHEMIN S S. Performance of optical flow techniques[J]. International Journal of Computer Vision,1994,12(1):43-77.

    [5] [5] SHALOMY B,RONG L X. Estimation and Tracking Principles,Techniques,and Software[M]. Boston: Artech House,1992.

    [10] [10] DOUCET A,GODSILL S. On sequential monte carlo sampling methods for bayesian filtering[R]. Cambridge: University of Cambridge,1998:1-36.

    [11] [11] ISARD M,BLAKE A. Condensation-conditional density propagation for visual tracking[J]. International Journal of Computer Vision,1998,28(1):5-28.

    [12] [12] CASELLA G ,ROBERT C P.Rao Blackwellisation of sampling schemes[J]. Biometrika,1996,83(1):81-94.

    [13] [13] ZHUANG Z S,ZHANG J Q,YIN J J. Quasi-gaussian Rao-Blackwellized particle filter for mixed linear/nonlinear state space models[J]. Acta Aeronautica Et Astronautica Sinica,2008,29(2):450-455.(in Chinese)

    [14] [14] LI J,CHEN ZH Q. An improved particle filter algorithm for color-based non-rigid object tracking[J]. J. of Zhengzhou Univ.,2006,38(4):60-63.(in Chinese)

    [15] [15] ZHOU SH J,CHEN W F,WANG Y T. Active contours tracking of medical images based on the generalized fuzzy particle filter[J]. Chinese Journal of Computer,2005,28(1):88-95.(in Chinese)

    [16] [16] MACCORMICK J,BLAKE A. A probabilistic exclusion principle for tracking multiple objects[C].Int’l Conf. Computer Vision,1999:572-578.

    [17] [17] KHAN Z,BALCH T, DELLAERT F. A rao-blackwellized particle filter for eigen tracking[C]. In Proc. IEEE Conf. Comp. Vision Pattern Recognition,Washington DC,2004,2:980-986.

    [18] [18] BIRCHFIELD S. Elliptical head tracking using intensity gradients and color histograms[C].IEEE Conf. Comp.Vision Pattern Recognition,Santa Barbara,1998:232-237.

    [19] [19] ISARD M,BLAKE A. Icondensation: unifying low-level and high-level tracking in a stochastic framework[C].European Conf. Computer Vision,1998,1:893-908.

    [20] [20] WU Y. Robust visual tracking by integrating multiple cues based on co-inference learning[J]. Int’l Journal of Computer Vision,2004,58(1):55-71.

    [21] [21] VIOLA P,JONES M J. Robust real-time face detection[J]. Int’l Journal of Computer Vision,2004,52(2):137-154.

    [22] [22] LEVI K,WEISS Y. Learning object detection from a small number of examples: the importance of good features[C].IEEE Conf. Comp. Vision Pattern Recognition, Washington,DC,2004,2:53-60

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    LI Chun-xin, WANG Xiao-tong. Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter[J]. Optics and Precision Engineering, 2009, 17(9): 2321

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    Paper Information

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    Received: Dec. 7, 2008

    Accepted: --

    Published Online: Oct. 28, 2009

    The Author Email: Chun-xin LI (chunxinlijy@yahoo.com.cn)

    DOI:

    CSTR:32186.14.

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