Real Time Motorcycle Recognition and Tracking System

• Main Authors: CHEN. HUNG-TSUNG, 陳宏宗
• Other Authors: Lu. Yi-Bin ,Chiu. Chung-Cheng
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/64472593123185623435

碩士 === 國防大學中正理工學院 === 電子工程研究所 === 94 === The development of the intelligent transportation system becomes a benchmark with developed country. The study of the intelligent system is becoming more and more important. Because the automobile industry is expanding, the traffic accident and traffic jam are frequently occurred. Therefore, how to solve the traffic issues becomes the important topic for the intelligent transportation system. In Taiwan, because the populations are concentrated in the big cities, the traffic jam is frequently occurred. The motorcycle becomes the most convenient transportation for the Taiwanese. However, the driver of a motorcycle is always injured when the traffic accident occurred. The study of this thesis proposes a motorcycle detection and recognition system. The system can extract the moving objects from the image sequence, and recognize the motorcycles from the moving objects. Experiments obtained by using complex road scenes are reported, which demonstrate the validity of the method in terms of robustness, accuracy, and time responses.