Human faces are commonly found in video streams and provide useful information for video content analysis. This paper presents a robust face tracking system to extract multiple fa...
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
: The fusion of data from different sensorial sources is the most promising method to increase robustness and reliability of environmental perception today. The paper presents an a...
Ulrich Scheunert, Philipp Lindner, Eric Richter, G...
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
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...