In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
In this paper, we aim to achieve scalability and wider scene coverage through the use of multiple cameras in an outdoor visual surveillance system. Only image-based information is...
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a va...
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...