Particle filter-based object tracking using adaptive histogram

Fotouhi, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianMVIP.2011.6121612
  3. Abstract:
  4. Object tracking is a difficult and primary task in many video processing applications. Because of the diversity of various video processing tasks, there exists no optimum method that can perform properly for all applications. Histogram-based particle filtering is one of the most successfu1 object tracking methods. However, for dealing with visual tracking in real world conditions (such as changes in illumination and pose) is still a challenging task. In this paper, we have proposed a color-based adaptive histogram particle filtering method that can update the target model. We have used the Bhattacharyya coefficients to measure the likelihood between two color histograms. Our experimental results show that the proposed method is robust against partial occlusion, rotation, scaling, object deformation, and changes in illumination and pose. It is also fast enough to be used in real-time applications
  5. Keywords:
  6. Adaptive histogram ; Bhattacharyya coefficient ; Particle filter ; Filter-based ; Object deformation ; Object Tracking ; Optimum method ; Partial occlusions ; Particle Filtering ; Primary task ; Real-time application ; Target model ; Two-color ; Video processing ; Video processing applications ; Visual Tracking ; Computer vision ; Graphic methods ; Nonlinear filtering ; Tracking (position) ; Video signal processing ; Statistical methods
  7. Source: 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings ; 2011 ; 9781457715358 (ISBN)
  8. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6121612