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» Multi-Kernel Object Tracking
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ICCV
2001
IEEE
16 years 5 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
139
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ICPR
2004
IEEE
16 years 4 months ago
Moving Object Extraction with a Localized Pyramid
In this paper, we present a tracking initialization method that combines a rough extraction of moving objects and a refined segmentation of their contours. The extraction of movin...
Jérémy Huart, Guillaume Foret, Pasca...
141
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PAMI
2006
193views more  PAMI 2006»
15 years 3 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ECCV
2008
Springer
15 years 5 months ago
Improving the Agility of Keyframe-Based SLAM
Abstract. The ability to localise a camera moving in a previously unknown environment is desirable for a wide range of applications. In computer vision this problem is studied as m...
Georg Klein, David W. Murray
127
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GRAPHICSINTERFACE
2004
15 years 5 months ago
Remote Collaboration Using Augmented Reality Videoconferencing
This paper describes an Augmented Reality (AR) Videoconferencing System, which is a novel remote collaboration tool combining a desktop-based AR system and a videoconference modul...
István Barakonyi, Tamer Fahmy, Dieter Schma...