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People identification and tracking through fusion of facial and gait features

conference contribution
posted on 2014-01-01, 00:00 authored by Y Guan, X Wei, Chang-Tsun LiChang-Tsun Li, Y Keller
This paper reviews the contemporary (face, gait, and fusion) computational approaches for automatic human identification at a distance. For remote identification, there may exist large intra-class variations that can affect the performance of face/gait systems substantially. First, we review the face recognition algorithms in light of factors, such as illumination, resolution, blur, occlusion, and pose. Then we introduce several popular gait feature templates, and the algorithms against factors such as shoe, carrying condition, camera view, walking surface, elapsed time, and clothing. The motivation of fusing face and gait, is that, gait is less sensitive to the factors that may affect face (e.g., low resolution, illumination, facial occlusion, etc.), while face is robust to the factors that may affect gait (walking surface, clothing, etc.). We review several most recent face and gait fusion methods with different strategies, and the significant performance gains suggest these two modality are complementary for human identification at a distance.

History

Volume

8897

Pagination

209-221

Location

Sofia, Bulgaria

Start date

2014-06-23

End date

2014-06-24

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319133850

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2014, Springer International Publishing Switzerland

Editor/Contributor(s)

Cantoni V, Dimov D, Tistarelli M

Title of proceedings

BIOMET2014 : Proceedings of the 1st International Workshop on Biometrics 2014

Event

AComIn: Advanced Computing for Innovation. Workshop (1st : 2014 : Sofia, Bulgaria)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

AComIn: Advanced Computing for Innovation Workshop

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