Pedestrian Detection Using Depth Estimation Maps and Semantic Segmentation

博士 === 國立臺灣科技大學 === 電子工程系 === 107 === This thesis presents a pedestrian detection framework using the combination of depth estimation maps and semantic segmentation maps. It consists of two main components, which are a depth segmentation Region Proposal Network (ds-RPN) and a depth segmentation Regi...

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Bibliographic Details
Main Author: Albert Christianto
Other Authors: Wen-Hsien Fang
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/5mpg6v