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RESEARCH PRODUCT
Visual tracking with omnidirectional cameras: an efficient approach
Francois RameauDésiré SidibéCédric DemonceauxDavid Fofisubject
0209 industrial biotechnologyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhysics::Optics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyTracking (particle physics)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::RoboticsNonlinear system020901 industrial engineering & automationOmnidirectional cameraComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringEye tracking020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringRepresentation (mathematics)Omnidirectional antennabusinessdescription
International audience; An effective technique for applying visual tracking algorithms to omni- directional image sequences is presented. The method is based on a spherical image representation which allows taking into account the distortions and nonlinear resolution of omnidirectional images. Experimental results show that both deterministic and probabilistic tracking methods can effectively be adapted in order to robustly track an object with an omnidirectional camera.
year | journal | country | edition | language |
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2011-10-13 |