It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
A system that performs the tracking of a human head in 3D in real time is presented. The head shape is modeled by an ellipse with a trained color histogram of skin and hair sample...
This paper presents a new pq-space based 2D/3D registration method for camera pose estimation in endoscope tracking. The proposed technique involves the extraction of surface norma...
Fani Deligianni, Adrian James Chung, Guang-Zhong Y...
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Abstract. This paper explores the problem of tracking information flow in dynamic tree structures. Motivated by the problem of manipulating the Document Object Model (DOM) trees by...