DocumentCode
2227945
Title
Adding geometrical terms to shadow detection process
Author
Havasi, Laszlo ; Sziranyi, Tamas ; Rudzsky, Michael
Author_Institution
Hungarian Acad. of Sci., Budapest, Hungary
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
5
Abstract
The elimination of strong shadow in outdoor scenes containing human activity is addressed in the paper. The main contribution of the introduced method is the integration of geometrical information into the shadow detection process. This novel approach takes into account the collinearity of shadow and light direction and completed with a simple colour based pre-filtering. The final classification step is carried out via a Bayesian iteration scheme which is general enough to handle further characteristics of the problem: weak shadow and reflection.
Keywords
Bayes methods; image classification; image colour analysis; image filtering; iterative methods; object detection; Bayesian iteration scheme; collinearity; colour based prefiltering; final classification step; geometrical information; human activity; light direction; outdoor scenes; shadow detection process; shadow direction; strong shadow elimination; Abstracts; Europe; Muscles; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071753
Link To Document