Transformed domain GMM foreground segmentation for mobile video camera

Simplified foreground Segmentation for a mobile video camera, such as a camera on a cell phone, is proposed. Unlike the static surveillance camera, a mobile camera is often used under various camera angles, including pan/tilt motions. The proposed algorithm, using a transformed domain Gaussian Mixture model, can realize segmentation under such variety of camera angles without any pre-stored background model. The camera parameters on a pan/tilt operation in a small angle change are considered to be translation and the translation amount is found out by POC (Phase only correlation) operations among a selected small number of blocks located at the transform block positions. The selection is based on criteria of excluding dynamic background blocks. The area which appears for the first time by a pan/tilt operation is processed by a boost background construction. Experimental results show the effectiveness of the approach.