Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
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...
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel R...