| Paper: | MSP-P1.8 | ||
| Session: | Human Machine Interface; Signal Processing for Media Integration and Application | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Multimedia Signal Processing: Multimedia Applications | ||
| Title: | FUSION OF GAIT AND FACE FOR HUMAN IDENTIFICATION | ||
| Authors: | Amit Kale; Center for Automation Research | ||
| Amit RoyChowdhury; Center for Automation Research | |||
| Rama Chellappa; Center for Automation Research | |||
| 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 present fusion of face and gait cuesfor the single camera case. We employ a view invariant gaitrecognition algorithm for gait recognition. We employ decision fusion to combine the results of our gait recognition algorithm and a face recognition algorithm based on sequential importancesampling . We consider two fusion scenarios: hierarchical andholistic. The first involves using the gait recognition algorithm as a filter to pass on a smaller set of candidates to the face recognition algorithm. The second involves combining the similarity scores obtained individually from the face and gait recognition algorithms Simple rules like the SUM and PRODUCT are used for combinining the scores. The results of the fusion are demonstrated on the NIST database which has outdoor gait and face data of 30 subjects. | ||
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