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IJCV
2002
84views more  IJCV 2002»
13 years 4 months ago
Algorithmic Fusion for More Robust Feature Tracking
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...
Brendan McCane, Ben Galvin, Kevin Novins
ARCS
2005
Springer
13 years 10 months ago
Self-Organizing, Adaptive Data Fusion for 3d Object Tracking
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...
Olaf Kähler, Joachim Denzler
ICIP
2007
IEEE
14 years 6 months ago
Hierarchical Feature Fusion for Visual Tracking
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...
ECCV
2002
Springer
14 years 6 months ago
Fusion of Multiple Tracking Algorithms for Robust People Tracking
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...
Nils T. Siebel, Stephen J. Maybank
CVPR
2006
IEEE
14 years 6 months ago
Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
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...
Jinshi Cui, Huijing Zhao, Ryosuke Shibasaki