Midground object detection in real world video scenes

Authors:
B. Valentine;S. Apewokin;L. Wills;S. Wills;A. Gentile
Affiliations:
Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, U.S.A.;Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, U.S.A.;Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, U.S.A.;Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, U.S.A.;Dipartimento di Ingegneria Informatica, University of Palermo, Italy
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 ...