Title :
Adding geometrical terms to shadow detection process
Author :
Havasi, Laszlo ; Sziranyi, Tamas ; Rudzsky, Michael
Author_Institution :
Hungarian Acad. of Sci., Budapest, Hungary
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;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence