63 search results - page 6 / 13 » Joint Probabilistic Techniques for Tracking Multi-Part Objec... |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation is built upon cascade object detector trained with ...
MVA
2007
14 years 9 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
We present an approach to visual tracking based on dividing a
target into multiple regions, or fragments. The target is represented
by a Gaussian mixture model in a joint feature...
CVPR
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigentracking) are one of the most popular approaches to align templates ...