Automatic traffic real-time analysis system based on video

Liya Ding; Jilin Liu; Qubo Zhou; Rengrong Wang

doi:10.1117/12.473955

9 June 2003 Automatic traffic real-time analysis system based on video

Liya Ding, Jilin Liu, Qubo Zhou, Rengrong Wang

Proceedings Volume 5009, Visualization and Data Analysis 2003; (2003) https://doi.org/10.1117/12.473955
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Automatic traffic analysis is very important in the modern world with heavy traffic. It can be achieved in numerous ways, among them, detection and analysis through video system, being able to provide affluent information and having little disturbance to the traffic, is an ideal choice. The proposed traffic vision analysis system uses Image Acquisition Card to capture real time images of the traffic scene through video camera, and then exploits the sequence of traffic scene and the image processing and analysis technique to detect the presence and movement of vehicles. First getting rid of the complex traffic background, which is always changing, the system segment each vehicle in the region the user interested. The system extracts features from each vehicle and tracks them through the image sequence. Combined with calibration, the system calculates information of the traffic, such as the speed of the vehicles, their types, the volume of flow, the traffic density, the waiting length of the lanes, the turning information of the vehicles, and so on. Traffic congestion and vehicles’ shadows are disturbing problems of the vehicle detection, segmentation and tracking. So we make great effort to investigate on methods to dealing with them.

Citation Download Citation

Liya Ding, Jilin Liu, Qubo Zhou, and Rengrong Wang "Automatic traffic real-time analysis system based on video", Proc. SPIE 5009, Visualization and Data Analysis 2003, (9 June 2003); https://doi.org/10.1117/12.473955

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