Head pose estimation in seminar room using multi view face detectors

Zhenqiu Zhang; Yuxiao Hu; Ming Liu; Thomas Huang

doi:10.1007/978-3-540-69568-4_27

Head pose estimation in seminar room using multi view face detectors

Zhenqiu Zhang, Yuxiao Hu, Ming Liu, Thomas Huang

Coordinated Science Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers
Publisher	Springer
Pages	299-304
Number of pages	6
ISBN (Print)	9783540695677
DOIs	https://doi.org/10.1007/978-3-540-69568-4_27
State	Published - 2007
Event	1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 - Southhampton, United Kingdom Duration: Apr 6 2006 → Apr 7 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4122 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006
Country/Territory	United Kingdom
City	Southhampton
Period	4/6/06 → 4/7/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Online availability

10.1007/978-3-540-69568-4_27

Library availability

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Zhang, Z., Hu, Y., Liu, M., & Huang, T. (2007). Head pose estimation in seminar room using multi view face detectors. In Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers (pp. 299-304). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4122 LNCS). Springer. https://doi.org/10.1007/978-3-540-69568-4_27

Head pose estimation in seminar room using multi view face detectors. / Zhang, Zhenqiu; Hu, Yuxiao; Liu, Ming et al.
Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers. Springer, 2007. p. 299-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4122 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, Z, Hu, Y, Liu, M & Huang, T 2007, Head pose estimation in seminar room using multi view face detectors. in Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4122 LNCS, Springer, pp. 299-304, 1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006, Southhampton, United Kingdom, 4/6/06. https://doi.org/10.1007/978-3-540-69568-4_27

Zhang Z, Hu Y, Liu M, Huang T. Head pose estimation in seminar room using multi view face detectors. In Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers. Springer. 2007. p. 299-304. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-69568-4_27

Zhang, Zhenqiu ; Hu, Yuxiao ; Liu, Ming et al. / Head pose estimation in seminar room using multi view face detectors. Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers. Springer, 2007. pp. 299-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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AB - 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.

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Head pose estimation in seminar room using multi view face detectors

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