A Research on the Pedestrian Detection Problem
| Autor: | Shih-Chao, Liu, 劉世超 |
|---|---|
| Rok vydání: | 2005 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 93 With the rapid progress in information technology, computer is becoming more and more powerful, applications of digital image processing and machine vision are getting popular. The application of the image recognition to pedestrian detection in the security system and the advanced driver assistance system is an important and active research area. In this thesis, change detection, ridgelets for the representation of pedestrian with edges, and pedestrian detection on static images are discussed. The change detection method is often used to segment the moving objects out of the scene for pedestrian detection, and must be in the same background. This paper presents a way to detect pedestrian on images in different scenes by limiting chain code length used to reduce the deterioration due to the background noise in the image. In pedestrian detection, we obtain edge templates from input images and extract the feature points by training edge templates. It detects pedestrian in different scenes by the feature points matching. The research employs 72 pedestrian images for training and uses the extracted features to test. The problem in pedestrian detection is then discussed based on the experimental results. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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