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&...
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
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...
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 ...
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...