GPU based non-overlapping multi-camera vehicle tracking

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dc.contributor.authorGamage, TD
dc.contributor.authorSamarawickrama, JG
dc.contributor.authorPasqual, AA
dc.date.accessioned2018-12-18T20:40:14Z
dc.date.available2018-12-18T20:40:14Z
dc.description.abstractVehicle tracking and surveillance is an area which is having a considerable attention in the context of security and safety. The detection and tacking of moving vehicles through multiple cameras is considered as a method of vehicle surveillance. This work addresses a problem of detecting and matching vehicles through multiple cameras. The power of GPUs are used to increase the number of video streams which can be processed using a single computer. In the detection process the Gabor filter is used as a directional filter and the SURF is used by the matcher to uniquely represent the vehicle.en_US
dc.identifier.conference7th International Conference on Information and Automation for Sustainability - 2014en_US
dc.identifier.departmentDepartment of Electronic and Telecommunication Engineeringen_US
dc.identifier.doi10.1109/ICIAFS.2014.7069550en_US
dc.identifier.emailtharindug@uom.lken_US
dc.identifier.emailjayathu@ent.mrt.ac.lken_US
dc.identifier.emailpasqual@ent.mrt.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 1 - 6en_US
dc.identifier.placeColomboen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13739
dc.identifier.year2014en_US
dc.language.isoenen_US
dc.subjectGPUen_US
dc.subjectMulti-Camera
dc.subjectTracking
dc.subjectSURF
dc.subject
dc.titleGPU based non-overlapping multi-camera vehicle trackingen_US
dc.typeConference-Abstracten_US

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