Somphop Limsoonthrakul creator Mongkol Ekpanyapong Chairperson Dailey, Mathew N. Examination Committee Manukid Parnichkun Examination Committee Royal Thai Government Fellowship Scholarship Donor Asian Institute of Technology Fellowship Scholarship Donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2021 continuing eng 46 leaves : ill. This 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. A 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 Thesis (Ph. D.) - Asian Institute of Technology, 2021 Automobiles Identification Automated vehicles Image processing Digital techiniques Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B18216 http://203.159.5.9/ait-thesis/detail.php?q=B18216 230208 20260817170925.0