An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
Liam Ellis, Nicholas Dowson, Jiri Matas, Richard B...
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
A novel approach is proposed that extends the classical background subtraction method to extract silhouettes from videos in real time with dynamic viewpoint variation caused by ca...
We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...