A high performance foreground detection algorithm for night scenes
Tsung‐Han Tsai, Chih-Chi Huang, Chen-Shuo Fan · 2013
Foreground detection is designed to separate the objects from a background scene. However, night scenes always contain high dynamic illumination variety so that the performance on detection drops largely. In this paper, we present a new foreground detection algorithm which is applicable to scenes with complicated illumination and shadow. This new algorithm utilizes multiple regions to perform background classification. Consequently human vision can focus on moving objects and the interferences such as night illumination or shadow can be effectively eliminated. Because this algorithm can eliminate most interference, therefore moving objects can be segmented more precisely. As our experiment, the precision of nigh scene foreground detection is highly improved compared with other techniques.