27 search results - page 2 / 6 » Mixture Densities for Video Objects Recognition |
ICIP
2001
IEEE
14 years 11 months ago
2001
IEEE
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Despite a lot of research efforts in sports video processing, little work was done in volleyball video analysis due to the high density of players on the court and the complicated...
NIPS
2004
13 years 11 months ago
2004
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...