Xu, M;Jia, TY;Lu, L;Smith, JS
[Xu, Ming; Jia, Tianyuan] Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou 215123, Peoples R China.
[Lu, Lei] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China.
[Smith, Jeremy S.] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3BX, Merseyside, England.
PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
Pages:1142-1146
DOI:10.1109/ICSMC.2012.6377885
Publication Year:2012
Document Type:Conference Paper
Identifier:http://hdl.handle.net/20.500.12791/001232
Abstract
In this paper an object detection algorithm is proposed, which is robust in the presence of cast shadows and is based on geometric projections. The novelty of the work lies in the use of homology mapping of the foreground regions between different parallel planes within a monocular view, unlike some existing algorithms which depend on the use of multiple cameras. The results on an open video dataset are provided.
Keywords
homography video surveillance motion detection
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