We present a framework for merging the results of independent featurebased motion trackers using a classification based approach. We demonstrate the efficacy of the framework usin...
Data fusion concepts are a necessary basis for utilizing complex networks of sensors. A key feature for a robust data fusion system is adaptivity, both to be fault-tolerant and to...
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...