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

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 matchingbased 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.