Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segm...
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,...
We propose a framework that performs action recognition and identity maintenance of multiple targets simultaneously. Instead of first establishing tracks using an appearance mode...
—Millions of surveillance cameras record video around the clock, producing huge video archives. Even when a video archive is known to include critical activities, finding them i...
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...