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CVPR
2010
IEEE
15 years 5 months ago
Figure-Ground Segmentation Improves Handled Object Recognition in Egocentric Video
Identifying handled objects, i.e. objects being manipulated by a user, is essential for recognizing the person’s activities. An egocentric camera as worn on the body enjoys many...
Xiaofeng Ren, Chunhui Gu
ICCV
2003
IEEE
15 years 11 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
15 years 3 months ago
Fast sensory motor control based on event-based hybrid neuromorphic-procedural system
—Fast sensory-motor processing is challenging when using traditional frame-based cameras and computers. Here we show how a hybrid neuromorphic-procedural system consisting of an ...
Tobi Delbrück, Patrick Lichtsteiner
ECCV
2004
Springer
15 years 2 months ago
An AR Human Computer Interface for Object Localization in a Cognitive Vision Framework
Abstract. In the European cognitive vision project VAMPIRE (IST2001-34401), mobile AR-kits are used for interactive teaching of a visual active memory. This is achieved by 3D augme...
Hannes Siegl, Gerald Schweighofer, Axel Pinz
HUMO
2007
Springer
15 years 3 months ago
Multi Person Tracking Within Crowded Scenes
This paper presents a solution to the problem of tracking people within crowded scenes. The aim is to maintain individual object identity through a crowded scene which contains com...
Andrew Gilbert, Richard Bowden