Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, T...