Robust Localisation of Pedestrians with Cast Shadows Using Homology in A Monocular View

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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