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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
14 years 2 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...
32
Voted
ISER
2000
Springer
133views Robotics» more  ISER 2000»
13 years 11 months ago
Merging Gaussian Distributions for Object Localization in Multi-robot Systems
: We present a method for representing, communicating, and fusing distributed, noisy, and uncertain observations of an object by multiple robots. The approach relies on re-paramete...
Ashley W. Stroupe, Martin C. Martin, Tucker R. Bal...
ICPR
2000
IEEE
13 years 11 months ago
Eigenfiltering for Flexible Eigentracking (EFE)
Traditional techniques for tracking non-rigid objects such as optical flow, correlation, active contours or color, can not deal with situations where image changes are not due to ...
Fernando De la Torre, Javier Melenchón, Jor...
ADAPTIVE
2007
Springer
14 years 1 months ago
Web Document Modeling
A very common issue of adaptive Web-Based systems is the modeling of documents. Such documents represent domain-specific information for a number of purposes. Application areas su...
Alessandro Micarelli, Filippo Sciarrone, Mauro Mar...
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
14 years 49 min ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong