Title :
Robust localisation of pedestrians with cast shadows using homology in a monocular view
Author :
Xu, Ming ; Jia, Tianyuan ; Lu, Lei ; Smith, Jeremy S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Xi´´an Jiaotong-Liverpool Univ., Suzhou, China
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 :
geometry; object detection; video signal processing; video surveillance; cast shadow; geometric projection; homology mapping; monocular view; object detection algorithm; open video dataset; robust pedestrian localisation; video surveillance; Cameras; Educational institutions; Foot; Hafnium; Head; Histograms; Robustness; homography; motion detection; video surveillance;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6377885
