In the domain of computer vision, there exists a very wide application for the research of human motion capture. This paper proposes a new approach to do motion capture in video. ...
This paper presents the results of analysing the effect of different motion segmentation techniques in a system that transmits the information captured by a static surveillance ca...
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (IR) surveillance cameras on object tracking performance, as compared to trackin...
Nedeljko Cvejic, Stavri G. Nikolov, Henry D. Knowl...
Manual labeling of objects in videos is a tedious task. We present an approach which automatically propagates the labels from a single frame to the next ones. We tackle the challe...
Julien Fauqueur, Gabriel J. Brostow, Roberto Cipol...
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...