772 search results - page 36 / 155 » Novel Observation Model for Probabilistic Object Tracking |
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
PAMI
2007
13 years 7 months ago
2007
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
CVPR
2009
IEEE
15 years 12 days ago
2009
IEEE
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
This work presents a discriminative training method for
particle filters in the context of multi-object tracking. We
are motivated by the difficulty of hand-tuning the many
mode...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...