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» A Computational Framework for Handling Motion
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ECCV
2002
Springer
14 years 11 months ago
Color-Based Probabilistic Tracking
Color-based trackers recently proposed in [3,4,5] have been proved robust and versatile for a modest computational cost. They are especially appealing for tracking tasks where the ...
Carine Hue, Jaco Vermaak, Michel Gangnet, Patrick ...
CLOR
2006
14 years 29 days ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
SCALESPACE
2007
Springer
14 years 3 months ago
A Generic Approach to the Filtering of Matrix Fields with Singular PDEs
Abstract. There is an increasing demand to develop image processing tools for the filtering and analysis of matrix-valued data, so-called matrix fields. In the case of scalar-val...
Bernhard Burgeth, Stephan Didas, Luc Florack, Joac...
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
14 years 3 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos
AVBPA
2001
Springer
115views Biometrics» more  AVBPA 2001»
14 years 1 months ago
Visual Categorization of Children and Adult Walking Styles
We present an approach for visual discrimination of children from adults in video using characteristic regularities present in their locomotion patterns. The framework employs comp...
James W. Davis