"This is a book about the problem of vision. How is it that a torrent of data from a television camera, or from biological visual receptors, can be reduced to perceptions - th...
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...