DocumentCode :
2998034
Title :
Intrinsic Image Based Moving Object Cast Shadow Removal in Image Sequences
Author :
Kumar, Pankaj
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of South Australia, Adelaide, SA, Australia
fYear :
2011
fDate :
6-8 Dec. 2011
Firstpage :
410
Lastpage :
415
Abstract :
The goal in this paper is to detect and remove shadows of moving objects in colour image sequences. The method works by deriving the shadow edges of a 3-band colour image, integrating edge information temporally in the image sequence, and subsequently removing these shadows by a method paralleling reflectance recovery by entropy minimisation. The method incorporates background subtraction information and extensive edge-linking morphology to detect superior shadow edges. This integration has greatly increased the scope of applicability and brought about significant enhancements in the recovered shadow-free images and the time of processing. Shadows in the frames of image sequences are shown to be significantly attenuated. At present the implementation runs about 4 frames per second and can serve as a good utility in improving the performance of high level algorithms in scene monitoring.
Keywords :
edge detection; entropy; image colour analysis; image motion analysis; image sequences; object detection; 3-band colour image; background subtraction information; colour image sequences; edge information integration; entropy minimisation; extensive edge-linking morphology; intrinsic image based moving object cast shadow removal; shadow-free image recovery; superior shadow edge detection; Cameras; Entropy; Image color analysis; Image edge detection; Image sequences; Lighting; Minimization; Background subtraction; Camera calibration; Intrinsic image; Shadow detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on
Conference_Location :
Noosa, QLD
Print_ISBN :
978-1-4577-2006-2
Type :
conf
DOI :
10.1109/DICTA.2011.76
Filename :
6128650
Link To Document :
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