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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 KellerThis 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
Event
AComIn: Advanced Computing for Innovation. Workshop (1st : 2014 : Sofia, Bulgaria)Volume
8897Series
AComIn: Advanced Computing for Innovation WorkshopPagination
209 - 221Publisher
SpringerLocation
Sofia, BulgariaPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2014-06-23End date
2014-06-24ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319133850Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, Springer International Publishing SwitzerlandEditor/Contributor(s)
V Cantoni, D Dimov, M TistarelliTitle of proceedings
BIOMET2014 : Proceedings of the 1st International Workshop on Biometrics 2014Usage metrics
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No categories selectedKeywords
Face RecognitionGait FeatureGait RecognitionSupport Vector Data DescriptionFace Recognition AlgorithmScience & TechnologyTechnologyLife Sciences & BiomedicineComputer Science, Artificial IntelligenceComputer Science, Information SystemsComputer Science, Theory & MethodsMathematical & Computational BiologyComputer ScienceRECOGNITION
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