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Efficient Head Tracking Using an Integral Histogram Constructing Based on Sparse Matrix Technology

  • Jia-Tao Qiu
  • Yu-Shan Li
  • Xiu-Qin Chu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6468)

Abstract

In this paper, a sparse matrix technology-based integral histogram constructing is applied to a particle filter for efficient head tracking, which can significantly enhance the performance of the particle filter of large number of particles in terms of speed. Also, by exploiting the integral histogram constructing, a novel orientation histogram matching-based proposal is proposed for head tracking based on a circular shift orientation histogram matching, which is robust to in-plane rotation. The proposed head tracking is validated on S.Birchfields image sequences.

Keywords

Integral Image Head Tracking Orientation Histogram Histogram Match High Similarity Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jia-Tao Qiu
    • 1
  • Yu-Shan Li
    • 1
  • Xiu-Qin Chu
    • 1
  1. 1.Xidian UniversityXi’anChina

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