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» A Framework for Representing Moving Objects
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GI
2009
Springer
14 years 7 months ago
An Adaptative Framework for Tracking Web-based Learning Environments
: Collecting and sharing attention information represents a main concern within the Technology Enhanced Learning community, as the number of works or projects related to this topic...
Valentin Butoianu, Philippe Vidal, Julien Broisin
ICCV
2001
IEEE
15 years 11 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
GLOBECOM
2007
IEEE
15 years 4 months ago
Using MILP for Optimal Movement Planning in MANETs with Cooperative Mobility
— Rapid-deployment mobile ad-hoc networks (MANETs) are frequently characterized by common overarching mission objectives which make it reasonable to expect some degree of coopera...
Ghassen Ben Brahim, Osama Awwad, Ala I. Al-Fuqaha,...
ICCS
2005
Springer
15 years 3 months ago
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICIP
2010
IEEE
14 years 7 months ago
Real-time interactive multi-target tracking using kernel-based trackers
Although kernel-based methods have been demonstrated effectively in solving single-target tracking problem, facing more complicated multi-target tracking task, most of them still ...
Guorong Li, Wei Qu, Qingming Huang