Vehicle Detection and Collision Warning System using Motion Vector Analysis
| Autor: | Hao-Wei Chu, 朱浩瑋 |
|---|---|
| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 On road vehicle detection and collision warning system has attracted more attention these years in order to minimize the traffic accidents in the daily life. A vehicle detection system applicable in daytime is proposed in the thesis. In this system, a digital camera mounted behind the vehicle to capture the image sequence. Our purposed system then analyzes the block based motion vector field, segment out the vehicle region from the road bed region, and then estimates the relative position between the driver and the vehicle. The system is also able to assist the driver by sending out a warning signal according to the estimated relative distance. However, tradition block based motion analysis does not work properly due to the perspective distortion and low texture on the road area. We purposed an algorithm to rectify the motion on the road plane without affecting the motion accuracy on the vehicle region. Segmentation is done by analyzing the motion vector. To increase the accuracy of the results, color based segmentation is also implemented to fuse with the motion based segmentation, and the experimental results showed that the proposed system is able to detect the existence of vehicles effectively in a distance of about 20 meters. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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