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» Tracking objects in video using motion and appearance models
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TCSV
2008
202views more  TCSV 2008»
13 years 9 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
CVPR
2007
IEEE
14 years 11 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
CVPR
2006
IEEE
14 years 11 months ago
Kernel-based Template Alignment
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...
Igor Guskov
ICIP
2006
IEEE
14 years 11 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
ICIP
1998
IEEE
14 years 10 months ago
Image Sequence Analysis and Segmentation using G-blobs
This paper introduces a new generalisation of the familiar scale-space and wavelet representations, designed specifically to deal with the complexities of representing motions ind...
Andrew Calway, Peter Meulemans, Roland G. Wilson, ...