We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
This paper describes a human machine interaction application for building panoramic views easily and efficiently. The panoramas are not limited to the 1D problem (one axis of rot...
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
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,...
Locating moving objects in a video sequence is the first step of many computer vision applications. Among the various motion-detection techniques, background subtraction methods a...