Journal
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume 39, Issue 4, Pages 1028-1035Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2008.2011815
Keywords
Behavior analysis; view independent
Categories
Funding
- National Basic Research Program of China [2004CB318100]
- National Natural Science Foundation of China [60736018, 60723005]
- National Laboratory of Pattern Recognition [2008NLPRZY-2]
- Nature Science Foundation of China [60605014, 60875021]
- National 863 Plan projects [2009AA01Z318]
Ask authors/readers for more resources
The motion analysis of the human body is an important topic of research in computer vision devoted to detecting, tracking, and understanding people's physical behavior. This strong interest is driven by a wide spectrum of applications in various areas such as smart video surveillance. Most research in behavior (or gesture) representation focusses on view-dependent representation, and some research on view invariance considers only information from 3-D models, which is effective under considerable changes of viewpoint. This paper introduces a view-independent behavior-analysis framework based on decision fusion in which distance and view angle factors are analyzed. This is a first effort to tackle the problem of behaviors under significant changes in view angle, and a first corresponding video database is built.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available