DocumentCode :
3097925
Title :
A Multiview Approach to Robust Detection in the Presence of Cast Shadows
Author :
Xu, Ming ; Ren, Jie ; Chen, Dongyong ; Smith, Jeremy S. ; Liu, Zhechi
Author_Institution :
Dept. of Electr. & Electron. Eng., Xi´´an Jiaotong-Liverpool Univ., Suzhou, China
fYear :
2011
fDate :
12-15 Aug. 2011
Firstpage :
494
Lastpage :
499
Abstract :
This paper presents an object detection algorithm using multiple cameras, which is robust in the presence of cast shadows. The information fusion is based on homography mapping of the foreground regions to a top view image. The homography is based on multiple planar planes parallel to the ground plane. Two novel approaches to estimating such homography have been proposed. The results on an open video dataset are demonstrated.
Keywords :
image fusion; object detection; cast shadows; foreground regions; homography mapping; information fusion; multiple cameras; multiview approach; object detection; robust detection; top view image; Approximation methods; Cameras; Estimation; Head; Object detection; Robustness; Transmission line matrix methods; detection; homography; motion analysis; video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
Type :
conf
DOI :
10.1109/ICIG.2011.180
Filename :
6005850
Link To Document :
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