Journal
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume 41, Issue 1, Pages 307-313Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2009.2037923
Keywords
Biologically inspired; scene classification; video surveillance
Categories
Funding
- National Key Basic Research Projects of China 973 [2004 CB312102]
- National Science Founding [60605014, 60875021, 60723005]
- 863 Project [2009 AA01Z318]
- Nanyang SUG [M58020010]
- K. C. Wong Education Foundation
- Chinese Academy of Sciences
Ask authors/readers for more resources
Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly proposed method is more robust, more selective, and of lower complexity. These advantages are demonstrated by two sets of experiments on both our own database and standard public ones. Furthermore, occlusion and disorder problems in scene classification in video surveillance are also first studied in this paper.
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