In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Extremely crowded scenes present unique challenges to
video analysis that cannot be addressed with conventional
approaches. We present a novel statistical framework for
modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
It is very challenging to de-interlace HD videos in real time, as both high efficiency and low complexity should be fulfilled, which, however, are conflicting. This paper prese...
On a moving vehicle, speedy motion extraction from video is demanded. Different from the traditional motion estimation methods that track or match 2D features in consecutive motio...
Jiang Yu Zheng, Yasaswy Bhupalam, Hiromi T. Tanaka