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» Probabilistic Object Tracking Using Multiple Features
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ECCV
2010
Springer
12 years 3 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
FGR
2000
IEEE
175views Biometrics» more  FGR 2000»
14 years 2 months ago
A Framework for Modeling the Appearance of 3D Articulated Figures
This paper describes a framework for constructing a linear subspace model of image appearance for complex articulated 3D figures such as humans and other animals. A commercial mo...
Hedvig Sidenbladh, Fernando De la Torre, Michael J...
ECCV
2004
Springer
14 years 11 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
UAIS
2008
172views more  UAIS 2008»
13 years 9 months ago
Recent developments in visual sign language recognition
Abstract Research in the field of sign language recognition has made significant advances in recent years. The present achievements provide the basis for future applications with t...
Ulrich von Agris, Jörg Zieren, Ulrich Canzler...
FAST
2010
13 years 12 months ago
Tracking Back References in a Write-Anywhere File System
Many file systems reorganize data on disk, for example to defragment storage, shrink volumes, or migrate data between different classes of storage. Advanced file system features s...
Peter Macko, Margo I. Seltzer, Keith A. Smith