Multi-View Vehicle Identification under Non-Overlapping Cameras using Probability SVM with Weighted Random Tree
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 97 === Nowadays, more and more surveillance systems are setup along the streets. It is more and more impractical to rely on humans to find vehicles. We proposed an approach to identify vehicles under non-overlapping cameras. The challenges of vehicle identification a...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/19724782280648092473 |