Paper Info
Title
FUSION OF GAIT AND FACE FOR HUMAN IDENTIFICATION
Abstract
Identification of humans from arbitrary view points is an important requirement for different tasks including perceptual interfaces for intelligent environments, covert security and access control etc. For optimal performance, the system must use as many cues as possible and combine them in meaningful ways. In this paper we discuss fusion of face and gait cues for the single camera case. We present a view invariant gait recognition algorithm for gait recog- nition. We employ decision fusion to combine the results of our gait recognition algorithm and a face recognition algorithm based on sequential importance sampling . We consider two fusion sce- narios: hierarchical and holistic. The first involves using the gait recognition algorithm as a filter to pass on a smaller set of candi- dates to the face recognition algorithm. The second involves com- bining the similarity scores obtained individually from the face and gait recognition algorithms Simple rules like the SUM, MIN and PRODUCT are used for combinining the scores. The results of fusion experiments are demonstrated on the NIST database which has outdoor gait and face data of 30 subjects.
Year
DOI
Venue
2004
10.1109/ICASSP.2004.1327257
ICASSP
Keywords
Field
DocType
face recognition,gait analysis,importance sampling,sensor fusion,access control,covert security,data fusion,decision fusion,face cues,face recognition algorithm,gait cues,hierarchical fusion,holistic fusion,human identification,intelligent environment perceptual interfaces,score combining rules,sequential importance sampling,similarity scores,view invariant gait recognition algorithm
Facial recognition system,Importance sampling,Gait,Pattern recognition,Computer science,Covert,Sensor fusion,Gait analysis,NIST,Artificial intelligence,Access control
Conference
Volume
Citations 
PageRank 
5
30
1.71
References 
Authors
8
3
Name
Order
Citations
PageRank
Amit Kale170848.47
Amit K. RoyChowdhury2301.71
Chellappa, R.3130501440.56