Moving Object Classification and Detection Using Static Appearance and Optical Flow-Based Spatial/Temporal Entropy Features
博士 === 國立中興大學 === 電機工程學系所 === 104 === This dissertation proposes new approaches to classifying moving objects based on their side views and detecting pedestrians in a view-independent way using a fixed camera. Pedestrians, cars, motorcycles, and bicycles are very common moving object in road; theref...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/97896963130458653245 |