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

被引：0

作者：

Qiu, Jia-Tao ^{[1
]}

Li, Yu-Shan ^{[1
]}

Chu, Xiu-Qin ^{[1
]}

机构：

[1] Xidian Univ, 2 South Taibai Rd, Xian 710071, Peoples R China

来源：

COMPUTER VISION - ACCV 2010 WORKSHOPS, PT I | 2011年 / 6468卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：256 / 265

页数：10

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