We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histo...
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
One of the most contemporary research ideas for adaptive web-based educational systems is personalizing the educational contents, based on users’ learning styles. Moreover, it i...
We propose a framework for rate-distortion optimized bandwidth adaptation via packet dropping at a network node, when the incoming traffic at the node consists of multiple video ...
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...