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| 研究生： |
林羿甫 |
|---|---|
| 論文名稱： |
從影片中進行路標偵測與辨識 Road sign detection and classification from videos |
| 指導教授： | 陳世旺 |
| 學位類別： |
碩士 Master |
| 系所名稱： |
資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年： | 2010 |
| 畢業學年度： | 98 |
| 語文別： | 中文 |
| 論文頁數： | 46 |
| 中文關鍵詞： | 路標偵測 、共變異係數描述子 、自適應增強分類訓練 、錯誤蒐集輸出碼分類訓練 |
| 英文關鍵詞： | Road Sign Recognition, Region Covariance Descriptor, Adaboost, Error Collection Output Code |
| 論文種類： | 學術論文 |
| 相關次數： | 點閱：143 下載：12 |
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近年來路標偵測廣泛的使用在輔助駕駛系統，以提供駕駛者資訊與警告部分不當的駕駛行為例如超速、違規轉向等等。路標偵測也應用於導航系統中，提高路徑導航的精準度。由於路標擁有種類繁多的外觀，與無法控制的環境如光影變化、路標老化，使得路標偵測與分類成為挑戰性的工作。本研究將這議題分成路標偵測與路標分類兩部分。在路標偵測的部分，我們訓練分類器偵測影像中可能為路標之部分。該分類器為由Adaboost 演算法挑選描述性(descriptive)強的共變異區域特徵(Covariance Region Feature)生成弱分類器，boost 這些分類器組成強分類器。在路標辨識的部分，我們將路標辨識定義為多種類(multi-class)分類問題。以ErrorCorrecting Output Codes (ECOC)架構處理這問題。
本實驗可偵測影像中之紅色外框圓形之警告禁止類的路標與三角形的路標，並可辨識其中八種圓形路標與六種三角型路標。
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