This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...
An on-line algorithm for multi-object tracking is presented for monitoring a real-world scene from a single fixed camera. Potential objects are detected with adaptive backgrounds ...
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...