365 search results - page 41 / 73 » Visual Tracking Using Learned Linear Subspaces |
99
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
102
Voted
CVPR
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
96
Voted
AVSS
2008
IEEE
15 years 7 months ago
2008
IEEE
We propose a novel registration framework to map the field-of-coverage of pan-tilt cameras to a GIS (Geographic Information System) planar coordinate system. The camera’s fiel...
76
Voted
CIVR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
114
click to vote
ICIC
2005
Springer
15 years 6 months ago
2005
Springer
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...