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dc.contributor.author Gamage, TD
dc.contributor.author Samarawickrama, JG
dc.contributor.author Pasqual, AA
dc.date.accessioned 2018-12-18T20:40:14Z
dc.date.available 2018-12-18T20:40:14Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13739
dc.description.abstract Vehicle 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.language.iso en en_US
dc.subject GPU; Multi-Camera; Tracking; SURF en_US
dc.title GPU based non-overlapping multi-camera vehicle tracking en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electronic and Telecommunication Engineering en_US
dc.identifier.year 2014 en_US
dc.identifier.conference 7th International Conference on Information and Automation for Sustainability - 2014 en_US
dc.identifier.place Colombo en_US
dc.identifier.pgnos pp. 1 - 6 en_US
dc.identifier.email tharindug@uom.lk en_US
dc.identifier.email jayathu@ent.mrt.ac.lk en_US
dc.identifier.email pasqual@ent.mrt.ac.lk en_US
dc.identifier.doi 10.1109/ICIAFS.2014.7069550 en_US


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