In this paper a parametrizable architecture of a motion estimator (ME) is presented. The ME is designed as a generic full pixel calculation module which can be adopted for dieren...
This paper advocates a Virtual Vision paradigm and demonstrates its usefulness in camera sensor network research. Virtual vision prescribes the use of a visually and behaviorally ...
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
The rate-distortion optimal mode decision as well as motion estimation adopted in H.264 brings a big challenge to realtime encoding and transcoding duo to the high computation com...
Yi Wang, Xiaoyan Sun, Feng Wu, Shipeng Li, Houqian...
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...