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» Multiple Object Tracking with Kernel Particle Filter
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ICPR
2008
IEEE
14 years 8 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
HCI
2009
13 years 5 months ago
Complemental Use of Multiple Cameras for Stable Tracking of Multiple Markers
Abstract. In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in w...
Yuki Arai, Hideo Saito
ICCV
2005
IEEE
14 years 9 months ago
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...
Dan Schonfeld, Magdi A. Mohamed, Wei Qu
CLEAR
2006
Springer
142views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Robust Appearance Modeling for Pedestrian and Vehicle Tracking
Abstract. This paper describes a system for tracking people and vehicles for stationary-camera visual surveillance. The appearance of objects being tracked is modeled using mixture...
Wael Abd-Almageed, Larry S. Davis
ICCV
2001
IEEE
14 years 9 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