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035 _a.b12398962
099 9 _aAIT Diss. no.ISE-21-03
100 0 _aSomphop Limsoonthrakul
245 1 0 _aAutomatic vehicle identification and matching in multiple perspectives
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2021
300 _a46 leaves :
_bill.
490 1 _aDissertation ;
_vno. ISE-21-03
500 _aA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Mechatronics and Embedded Systems, School of Engineering and Technology
502 _aThesis (Ph. D.) - Asian Institute of Technology, 2021
520 _aThis dissertation propose an implementation of automated vehicle tracking system based on vision sensors and video analytics. The proposed system can process video streams from multiple traffic cameras to identify vehicles that appears in the scenes and predicts the route of a particular vehicle by matching the visual properties (type, color, and make) and/or license number found in adjacent cameras. Classical image processing techniques and Convolutional Neural Network architectures (GoogLeNet and YOLO) are adopted for vehicle detection-classification, and license plate recognition. The study also propose an architectural design of distributed traffic camera system which can reduce the cost of installation in wide coverage area.
650 0 _aAutomobiles
_xIdentification
650 0 _aAutomated vehicles
650 0 _aImage processing
_xDigital techiniques
700 0 _aMongkol Ekpanyapong,
_eChairperson
700 1 _aDailey, Mathew N.,
_eExamination Committee
700 0 _aManukid Parnichkun,
_eExamination Committee
710 2 _aRoyal Thai Government Fellowship,
_eScholarship Donor
710 2 _aAsian Institute of Technology Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tDissertation ;
_vno. ISE-21-03
856 4 0 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B18216
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