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HRI
2010
ACM
13 years 5 months ago
A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning effici
We developed three interfaces to allow non-expert users to teach name for new visual objects and compare them through user's studies in term of learning efficiency.
Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat
ICRA
2002
IEEE
120views Robotics» more  ICRA 2002»
14 years 21 days ago
Position Based Visual Servoing: Keeping the Object in the Field of Vision
Visual servoing requires an object in the field of view of the camera, in order to control the robot evolution. Otherwise, the virtual link is broken and the control loop cannot c...
Benoit Thuilot, Philippe Martinet, Lionel Cordesse...
CVPR
2007
IEEE
13 years 11 months ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
ICCV
2007
IEEE
14 years 9 months ago
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
ECCV
2008
Springer
14 years 9 months ago
Structuring Visual Words in 3D for Arbitrary-View Object Localization
Abstract. We propose a novel and efficient method for generic arbitraryview object class detection and localization. In contrast to existing singleview and multi-view methods using...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...