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CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 4 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
CVPR
2003
IEEE
15 years 3 days ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
SUTC
2006
IEEE
14 years 4 months ago
Multi-ontology Based Multimedia Annotation for Domain-specific Information Retrieval
Recent advances in computer power, network bandwidth, information storage, and multimedia/signal processing techniques have led to a proliferation of multimedia data. As a result,...
Aijuan Dong, Honglin Li
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 3 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
KI
2010
Springer
13 years 8 months ago
Situation-Specific Intention Recognition for Human-Robot Cooperation
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Peter Krauthausen, Uwe D. Hanebeck