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» Adaptive appearance learning for visual object tracking
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ICPR
2006
IEEE
14 years 8 months ago
Robust Appearance-based Tracking using a sparse Bayesian classifier
An appearance-based approach to track an object that may undergo appearance change is proposed. Unlike recent methods that store a detailed representation of object's appeara...
Kwan-Yee Kenneth Wong, Roberto Cipolla, Shu-Fai Wo...
ICPR
2008
IEEE
14 years 8 months ago
Parametric video compression using appearance space
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods...
Santanu Chaudhury, Subarna Tripathi, Sumantra Dutt...
ICPR
2008
IEEE
14 years 2 months ago
Hierarchical estimation for adaptive visual tracking
In this paper, we propose a novel approach which integrates adaptive appearance model and hierarchical estimation mechanism composed of global estimation and local estimation. Hie...
Seok Min Yun, Jin Hee Na, Woo-Sung Kang, Jin Young...
ECCV
2010
Springer
13 years 11 months ago
Discovering Multipart Appearance Models from Captioned Images
Abstract. Even a relatively unstructured captioned image set depicting a variety of objects in cluttered scenes contains strong correlations between caption words and repeated visu...
ICCV
2011
IEEE
12 years 7 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr