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Robust Head Tracking Based on a Multi-State Particle Filter , Haizhou AI1
 

Summary: Robust Head Tracking Based on a Multi-State Particle Filter
Yuan LI1
, Haizhou AI1
, Chang HUANG1
, Shihong LAO2
1
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China
2
Sensing and Control Technology Laboratory, Omron Corporation, Kyoto 619-0283, Japan
E-mail: ahz@mail.tsinghua.edu.cn
Abstract
This paper proposes a novel method for robust and auto-
matic realtime head tracking by fusing face and head cues
within a multi-state particle filter. Due to large appear-
ance variability of human head, most existing head tracking
methods use little object-specific prior knowledge, resulting
in limited discriminant power. In contrast, face is a distinct
pattern much easier to capture, which motivates us to in-
corporate a vector-boosted multi-view face detector[6] to
lend strong aid to general head observation cues including

  

Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University

 

Collections: Computer Technologies and Information Sciences