The Library
People identification and tracking through fusion of facial and gait features
Tools
Guan, Yu, Wei, Xingjie, Li, Chang-Tsun and Keller, Yosi (2014) People identification and tracking through fusion of facial and gait features. In: Cantoni, V. and Dimov, Dimo and Tistarelli, Massimo, 1962-, (eds.) Biometric Authentication : First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24, 2014. Revised Selected Papers. Lecture Notes in Computer Science . Springer International Publishing, pp. 209-221. ISBN 9783319133850
|
PDF
WRAP_Guan_biomet14_guan-1.pdf - Accepted Version - Requires a PDF viewer. Download (744Kb) | Preview |
Official URL: http://dx.doi.org/10.1007/978-3-319-13386-7_17
Abstract
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.
Item Type: | Book Item | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) |
||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Computer vision, Human gait -- Mathematical models, Human face recognition (Computer science) | ||||
Series Name: | Lecture Notes in Computer Science | ||||
Publisher: | Springer International Publishing | ||||
ISBN: | 9783319133850 | ||||
Book Title: | Biometric Authentication : First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24, 2014. Revised Selected Papers | ||||
Editor: | Cantoni, V. and Dimov, Dimo and Tistarelli, Massimo, 1962- | ||||
Official Date: | 30 November 2014 | ||||
Dates: |
|
||||
Page Range: | pp. 209-221 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 28 July 2016 | ||||
Date of first compliant Open Access: | 28 July 2016 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | Internatinal Workshop on Biometrics (BIOMET) | ||||
Type of Event: | Conference | ||||
Location of Event: | Sofia, Bulgaria | ||||
Date(s) of Event: | 23-24 Jun 2014 | ||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year