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» Likelihood Map Fusion for Visual Object Tracking
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102
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ECCV
2002
Springer
15 years 11 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
GRAPHICSINTERFACE
2008
14 years 11 months ago
SurfaceFusion: unobtrusive tracking of everyday objects in tangible user interfaces
Interactive surfaces and related tangible user interfaces often involve everyday objects that are identified, tracked, and augmented with digital information. Traditional approach...
Alex Olwal, Andrew D. Wilson
ICCV
2007
IEEE
15 years 11 months ago
A Homographic Framework for the Fusion of Multi-view Silhouettes
This paper presents a purely image-based approach to fusing foreground silhouette information from multiple arbitrary views. Our approach does not require 3D constructs like camer...
Saad M. Khan, Pingkun Yan, Mubarak Shah
64
Voted
ICIP
2009
IEEE
15 years 10 months ago
Learning Contextual Rules For Priming Object Categories In Images
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...
81
Voted
ICIP
2007
IEEE
15 years 11 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso