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ICPR
2006
IEEE
14 years 11 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...
CVPR
2006
IEEE
15 years 12 days ago
Robust Fragments-based Tracking using the Integral Histogram
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
14 years 5 months ago
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
Abstract. Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or red...
Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
MVA
2008
140views Computer Vision» more  MVA 2008»
13 years 10 months ago
An occlusion metric for selecting robust camera configurations
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...
Xing Chen, James Davis
CVPR
2011
IEEE
13 years 6 months ago
Branch and Track
We present a new paradigm for tracking objects in video in the presence of other similar objects. This branch-andtrack paradigm is also useful in the absence of motion, for the di...
Steve Gu, Carlo Tomasi