TY - GEN
T1 - People identification and tracking through fusion of facial and gait features
AU - Guan, Yu
AU - Wei, Xingjie
AU - Li, Chang Tsun
AU - Keller, Yosi
N1 - Publisher Copyright: © 2014, Springer Verlag. All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84915786217&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-13386-7_17
DO - 10.1007/978-3-319-13386-7_17
M3 - منشور من مؤتمر
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 209
EP - 221
BT - Biometric Authentication - 1st International Workshop, BIOMET 2014, Revised Selected Papers
A2 - Dimov, Dimo
A2 - Tistarelli, Massimo
A2 - Cantoni, Virginio
PB - Springer Verlag
T2 - 1st International Workshop on Biometrics, BIOMET 2014
Y2 - 23 June 2014 through 24 June 2014
ER -