Robust Foreground Segmentation from Color Video Sequences Using Background Subtraction with Multiple Thresholds
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomoji Toriyama, Kiyoshi Kogure · ePrints Soton (University of Southampton) · 2006
A new robust method to segment foreground regions from color video sequences using multiple thresholds and morphological processes is proposed. Background models are observed for a long time, and their mean and standard deviation are used for background subtraction. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors in and outside the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.