Articulated Body Tracking by Immune Particle Filter

  • Zhaohui Gan
  • Min Jiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)


The tracking of articulated body in images sequences is a challenging problem due to complexity and high dimensionality of the configuration space. In this paper, we propose a new algorithm to combine Artificial Immune and particle filter for articulated body motion tracking, fusing the strengths of both approaches. Compared with previous optimization based particle filter, our method overcomes the disadvantages of inefficiency by incorporating artificial immune algorithm into particle filter. Evaluations on MOCAP dataset show that immune particle filter algorithm performs better than anneal particle filter.


Particle Filter Motion Capture Data Human Body Model Generalize Cylinder Human Body Motion 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhaohui Gan
    • 1
  • Min Jiang
    • 2
    • 3
  1. 1.School of Information Science and TechnologyWuhan University of Science and TechnologyWuhanChina
  2. 2.College of Computer Science and TechnologyWuhan University of Science and TechnologyWuhanChina
  3. 3.School of ComputerWuhan UniversityWuhanChina

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