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» An Oscillatory Neural Model of Multiple Object Tracking
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MVA
2002
186views Computer Vision» more  MVA 2002»
13 years 7 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
IVC
2008
94views more  IVC 2008»
13 years 7 months ago
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
IROS
2009
IEEE
203views Robotics» more  IROS 2009»
14 years 2 months ago
3D model based pose estimation for omnidirectional stereovision
— Robot vision has a lot to win as well with wide field of view induced by catadioptric cameras as with redundancy brought by stereovision. Merging these two characteristics in ...
Guillaume Caron, Éric Marchand, El Mustapha...
ICCV
1999
IEEE
13 years 12 months ago
A Subset Approach to Contour Tracking in Clutter
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Daniel Freedman, Michael S. Brandstein
IJCV
2000
97views more  IJCV 2000»
13 years 7 months ago
Contour Tracking in Clutter: A Subset Approach
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of c...
Daniel Freedman, Michael S. Brandstein