111 thi.) puper, we present un uutomutic. system fi,r UIIulyzing and unnotuting video sequences of trchnicrd tulks. Our method uses U robust motion estiniution tec,hnique tci dete...
Shanon X. Ju, Michael J. Black, Scott L. Minneman,...
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
This paper aims at improving perceptual quality of encoded video sequences, and proposes a new perceptual bit allocation scheme for H.264. Firstly, a new motion complexity measure...
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...