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IJCV
2008
192views more  IJCV 2008»
13 years 5 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
MTA
2002
195views more  MTA 2002»
13 years 5 months ago
Shot Partitioning Based Recognition of TV Commercials
Digital video applications exploit the intrinsic structure of video sequences. In order to obtain and represent this structure for video annotation and indexing tasks, the main ini...
Juan María Sánchez, Xavier Binefa, J...
CVIU
2006
142views more  CVIU 2006»
13 years 5 months ago
Robust target detection and tracking through integration of motion, color, and geometry
Vision-based tracking is a basic elementary task in many computer vision-based applications such as video surveillance and monitoring, sensing and navigation in robotics, video co...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
ICVS
2009
Springer
13 years 12 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...
MVA
2007
211views Computer Vision» more  MVA 2007»
13 years 6 months ago
Vision-based UAV Navigation in Mountain Area
Most vision-based UAV (Unmanned Aerial Vehicle) navigation algorithms extract manmade features such as buildings or roads, which are well structured in urban terrain, using the CC...
Jihwan Woo, Kilho Son, Teng Li, Gwan Sung Kim, In-...