This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active...
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...