Learning gender from human gaits and faces

Authors:
Caifeng Shan; Shaogang Gong;Peter W. McOwan
Affiliations:
Department of Computer Science, Queen Mary, University of London, E1 4NS, UK;Department of Computer Science, Queen Mary, University of London, E1 4NS, UK;Department of Computer Science, Queen Mary, University of London, E1 4NS, UK
Venue:
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Year:
2007

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Abstract

The ability to recognize humans and their activities by vision is key for a machine to interact intelligently and effortlessly with a human-inhabited environment. Because of many important applications, “Looking at People“ is currently the ...