57 search results - page 6 / 12 » Learning to Find Object Boundaries Using Motion Cues |
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
CIVR
2008
Springer
13 years 10 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
TIP
2011
13 years 3 months ago
2011
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
ICCV
2001
IEEE
14 years 10 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...