1401 search results - page 24 / 281 » Probabilistic Object Tracking Using Multiple Features |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper presents a new method for tracking feature points on the textureless surface of a moving object. We employ a local image basis as a descriptor of each point for dealing...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We present an efficient algorithm for continuous image
recognition and feature descriptor tracking in video which
operates by reducing the search space of possible interest
poin...
ICRA
2003
IEEE
14 years 28 days ago
2003
IEEE
— This paper presents a fast tracking algorithm capable of estimating the complete pose (6DOF) of an industrial object by using its circular-shape features. Since the algorithm i...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...