Head pose estimation in seminar room using multi view face detectors

Zhenqiu Zhang, Yuxiao Hu, Ming Liu, Thomas Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Head pose estimation in low resolution is a challenge problem. Traditional pose estimation algorithms, which assume faces have been well aligned before pose estimation, would face much difficulty in this situation, since face alignment itself does not work well in this low resolution scenario. In this paper, we propose to estimate head pose using view-based multi-view face detectors directly. Naive Bayesian classifier is then applied to fuse the information of head pose from multiple camera views. To model the temporal changing of head pose, Hidden Markov Model is used to obtain the optimal sequence of head pose with greatest likelihood.

Original languageEnglish (US)
Title of host publicationMultimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers
Pages299-304
Number of pages6
StatePublished - 2007
Event1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 - Southhampton, United Kingdom
Duration: Apr 6 2006Apr 7 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4122 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006
Country/TerritoryUnited Kingdom
CitySouthhampton
Period4/6/064/7/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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