Efficient head tracking using an integral histogram constructing based on sparse matrix technology

Authors:
Jia-Tao Qiu;Yu-Shan Li;Xiu-Qin Chu
Affiliations:
Xidian University, Xi'an, China;Xidian University, Xi'an, China;Xidian University, Xi'an, China
Venue:
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Year:
2010

Citing 4
Cited 0

CONDENSATION—Conditional Density Propagation forVisual Tracking

International Journal of Computer Vision
Elliptical Head Tracking Using Intensity Gradients and Color Histograms

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01

Quantified Score

Hi-index	0.00

Visualization

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 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.