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» Probabilistic Object Tracking Using Multiple Features
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 3 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»
15 years 1 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
16 years 4 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
16 years 3 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
15 years 8 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