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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Efficient Head Tracking Using an Integral Histogram Constructing Based on Sparse Matrix Technology
verfasst von : Jia-Tao Qiu, Yu-Shan Li, Xiu-Qin Chu
Erschienen in: Computer Vision – ACCV 2010 Workshops
Verlag: Springer Berlin Heidelberg
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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.