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136
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IWINAC
2009
Springer
15 years 10 months ago
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...
132
Voted
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 10 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
113
Voted
HICSS
2006
IEEE
109views Biometrics» more  HICSS 2006»
15 years 9 months ago
Cross-Border E-Collaboration for New Product Development in the Automotive Industry
In highly globalized industries such as the automotive industry, product development is strongly dependent on e-collaboration tools that hold the potential to capitalize on specia...
Élisabeth Lefebvre, Louis A. Lefebvre, Ga&e...
140
Voted
ISORC
2006
IEEE
15 years 9 months ago
Individual Contour Extraction for Robust Wide Area Target Tracking in Visual Sensor Networks
In this paper, we propose an approach to collaboratively track motion of a moving target in a wide area utilizing camera-equipped visual sensor networks, which are expected to pla...
Xiaoling Wu, Hoon Heo, Riaz Ahmed Shaikh, Jinsung ...
113
Voted
CVPR
2005
IEEE
15 years 9 months ago
Hand Tracking with Flocks of Features
This paper introduces “Flocks of Features,” a fast tracking method for non-rigid and highly articulated objects such as hands. It combines KLT features and a learned foregroun...
Mathias Kölsch, Matthew Turk