Intelligent Traffic Surveillance System: Object Detection, Classification and Counting using Deep learning Features

碩士 === 國立臺灣科技大學 === 電機工程系 === 104 === This thesis presents an effective surveillance system, which includes the detection, classification, and counting of moving objects. Specifically, the Fusion-based Object Detection (FOD) is proposed for the moving-object detection, which adopts both Convolutiona...

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Bibliographic Details
Main Authors: Yi-Ting Wu, 吳逸庭
Other Authors: Jing-Ming Guo
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/2p3zxa

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