22 search results - page 3 / 5 » Competency-Based Learning Object Sequencing Using Particle S... |
160
Voted
ECCV
2004
Springer
16 years 3 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
127
Voted
AVSS
2006
IEEE
15 years 4 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...
130
Voted
ICCV
2001
IEEE
16 years 3 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
114
Voted
BMVC
2010
14 years 11 months ago
2010
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
134
Voted
ICCV
2003
IEEE
15 years 6 months ago
2003
IEEE
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...