A common approach to human action recognition is to use 2-D silhouettes in the space-time volume as a basis for further extraction of useful features. In this paper, we present a ...
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
—We describe a pipeline for structure-from-motion with mixed camera types, namely omnidirectional and perspective cameras. The steps of the pipeline can be summarized as calibrat...
With the growing popularity of video sharing web sites and the increasing use of consumer-level video capture devices, new algorithms are needed for intelligent searching and inde...