A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...
Abstract. This paper presents a complete visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules — Scene Tracking a...
James M. Ferryman, Mark Borg, David Thirde, Floren...
This paper presents an approach to unsupervised segmentation of moving and static objects occurring in a video. Objects are, in general, spatially cohesive and characterized by lo...
In this work, the problem of the estimation of parameters in case of mixtures of models composed by the sum of multiple Gaussians is considered. It will be shown how this estimati...
Highly efficient compression provides a promising approach to address the transmission and computation challenges imposed by moving object tracking applications on resource constra...
Rajib Kumar Rana, Wen Hu, Tim Wark, Chun Tung Chou