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» Robust Visual Tracking using L1 Minimization
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IVC
2007
173views more  IVC 2007»
14 years 11 months ago
Robust tracking with motion estimation and local Kernel-based color modeling
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring ...
R. Venkatesh Babu, Patrick Pérez, Patrick B...
CVPR
2010
IEEE
15 years 7 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
ICIP
2005
IEEE
16 years 1 months ago
Robust tracking with motion estimation and kernel-based color modelling
Visual tracking is still a challenging problem in computer vision. The applications of Visual Tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. I...
Patrick Bouthemy, Patrick Pérez, R. Venkate...
ICCV
2001
IEEE
16 years 1 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
ICIP
2005
IEEE
16 years 1 months ago
Tracking objects in video using motion and appearance models
This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...