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» Probabilistic Object Tracking Using Multiple Features
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 10 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
TSP
2008
178views more  TSP 2008»
13 years 9 months ago
Extended Object Tracking Using Monte Carlo Methods
Abstract-- This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended...
Donka S. Angelova, Lyudmila Mihaylova
CVPR
2007
IEEE
14 years 11 months ago
Shadow Removal in Front Projection Environments Using Object Tracking
When an occluding object, such as a person, stands between a projector and a display surface, a shadow results. We can compensate by positioning multiple projectors so they produc...
Samuel Audet, Jeremy R. Cooperstock
ICCV
2005
IEEE
14 years 11 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
CVPR
2006
IEEE
14 years 3 months ago
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an appr...
Bo Wu, Ram Nevatia