149 search results - page 19 / 30 » Robust Incremental Subspace Learning for Object Tracking |
ICCV
2001
IEEE
14 years 9 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...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we address the problem of learning an
adaptive appearance model for object tracking. In particular,
a class of tracking techniques called “tracking by detectionâ...
HVC
2005
Springer
14 years 1 months ago
2005
Springer
We present several algorithms for simultaneous SAT (propositional satisfiability) based model checking of safety properties. More precisely, we focus on Bounded Model Checking and ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...