The Study on Vehicle-Flow Analyzing and Counting System in the Raining Situation

• Main Authors: Yu-Lin Lin, 林佑霖
• Other Authors: Thou-Ho Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/75059986408552106499

碩士 === 國立高雄應用科技大學 === 電子與資訊工程研究所碩士班 === 96 === The importance of the transportation system to a country can be just like that of the blood circulation system to the human body. In recent year, the traffic density is rapidly increasing in most countries, making the traffic problem become one of major issues today. Therefore, a large number of researches are presented. The Intelligent Transportation System (ITS) is one of the best ways to solve the traffic problem. An ITS combines telecommunications, electronics, computer application, control and sensor technologies to improve traffic safety and efficiency. In this thesis, method utilizing computer vision and video information processing, put forward the automatic vehicle-flow analysis and counting system for the raining situation, and have acceptable of accuracy. Owing to research of vehicle-flow to analysis and counting of the known is almost in the fine weather situation. Hence this paper only to be aimed at vehicle-flow processing in raining situation by surveillance camera on the road. The first, filtering the rains in the raining situation. And to solve the movement background problem and water inverted image problem in raining situation by using algorithm to find out the edge and shadow information in moving object. Then, the system can to reach automatic vehicle-flow analysis and counting system for the raining situation. The experiment results show that the accuracy is about 80%, and this method can meet the requirement of real-time. Keywords: Traffic Surveillance、Raining Situation、Object Segmentation、Vehicle-Flow Analysis、Vehicle-Flow Counting