In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These seque...
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
A true video-on-demand(TVOD) system lets users view any video program, at any time, and perform any VCR functions, but its peruser video delivery cost is too expensive. A near vide...
Many different video processor architectures exist. Its architecture gives a processor strength for a particular application. Hardwired logic yields the best performance/cost, but ...