Vehicle Detection based on Adaboost Algorithm and Symmetry Justification
| Autor: | Chen,Ten-Tung, 陳彥東 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 Recently, extensive research concerning driver assistance systems has been conducted. Related applications include lane departure warning, trac sign recognition, and pedestrian and vehicle detection systems. This paper presents a real-time vehicle detection and tracking system capable of detecting the vehicles in front of a vehicle. The system consists of 2 main steps: generating candidates with respect to a vehicle by using the AdaBoost learning algorithm and verifying the candidates according to symmetry measurement and horizontal and vertical edge analysis. The proposed system is proven to be eective in various trac scenarios through experiments. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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