Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng T...
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
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
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...