Framework for feature selection for cast shadow removal
Guilin Zhang, Ying Chu, Song Tian, Yufei Zha, Gengming Zhu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Cast shadow cause serious problem in the extracting of moving objects because shadow pixels are liable to be misclassified as foreground. Many methods of cast shadow removal have been proposed and many features are selected in these methods. But since, moving object (MO) and cast shadow are classified by a single linear classifier. As it is known, each feature has its strength and weakness and is particularly applicable for handling a certain type of variation. In this paper, a novel framework for feature selection for cast shadow removal based on AdaBoost is proposed. Experiments are conducted on many scenes and the results prove the validation of the proposed method.