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» Probabilistic Object Tracking Using Multiple Features
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ISVC
2009
Springer
14 years 2 months ago
Propagation of Pixel Hypotheses for Multiple Objects Tracking
Abstract. In this paper we propose a new approach for tracking multiple objects in image sequences. The proposed approach differs from existing ones in important aspects of the re...
Haris Baltzakis, Antonis A. Argyros
ICPR
2004
IEEE
14 years 8 months ago
Evaluation of Tracking Reliability Metrics based on Information Theory and Normalized Correlation
The efficiency of three tracking reliability metrics based on information theory and normalized correlation is examined in this paper. The two information theory tools used for th...
Evangelos Loutas, Nikos Nikolaidis, Ioannis Pitas
ICMCS
2006
IEEE
234views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Decentralized Multiple Camera Multiple Object Tracking
In this paper, we present a novel decentralized Bayesian framework using multiple collaborative cameras for robust and efficient multiple object tracking with significant and pe...
Wei Qu, Dan Schonfeld, Magdi A. Mohamed
VR
2008
IEEE
277views Virtual Reality» more  VR 2008»
13 years 7 months ago
Hybrid Feature Tracking and User Interaction for Markerless Augmented Reality
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time sys...
Taehee Lee 0002, Tobias Höllerer
CVPR
1998
IEEE
14 years 9 months ago
Joint Probabilistic Techniques for Tracking Multi-Part Objects
Common objects such as people and cars comprise many visual parts and attributes, yet image-based tracking algorithms are often keyed to only one of a target's identifying ch...
Christopher Rasmussen, Gregory D. Hager