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ICPR
2006
IEEE
16 years 5 months ago
Evaluating Feature Importance for Object Classification in Visual Surveillance
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
Hironobu Fujiyoshi, Masamitsu Tsuchiya
ICVS
2009
Springer
15 years 10 months ago
Learning Objects and Grasp Affordances through Autonomous Exploration
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and mo...
Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre B...
ICRA
2008
IEEE
182views Robotics» more  ICRA 2008»
15 years 10 months ago
Hybrid laser and vision based object search and localization
— We describe a method for an autonomous robot to efficiently locate one or more distinct objects in a realistic environment using monocular vision. We demonstrate how to effic...
Dorian Galvez Lopez, Kristoffer Sjöö, Ch...
ICAT
2007
IEEE
15 years 10 months ago
Exploiting Virtual Objects' Attributes and Avatar's Behavior in DVEs Partitioning
Partitioning constitutes one of the most critical challenges a distributed virtual environment needs to handle and is related to the efficient assignment of the existing entities ...
Christos Bouras, Eri Giannaka, Thrasyvoulos Tsiats...
APGV
2007
ACM
15 years 8 months ago
Perception and prediction of simple object interactions
For humans, it is useful to be able to visually detect an object's physical properties. One potentially important source of information is the way the object moves and intera...
Manfred Nusseck, Julien Lagarde, Benoît G. B...