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Proceedings Paper

Automatic traffic real-time analysis system based on video
Author(s): Liya Ding; Jilin Liu; Qubo Zhou; Rengrong Wang
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Paper 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.

Paper Details

Date Published: 9 June 2003
PDF: 8 pages
Proc. SPIE 5009, Visualization and Data Analysis 2003, (9 June 2003); doi: 10.1117/12.473955
Show Author Affiliations
Liya Ding, Zhejiang Univ. (China)
Jilin Liu, Zhejiang Univ. (China)
Qubo Zhou, Zhejiang Univ. (China)
Rengrong Wang, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5009:
Visualization and Data Analysis 2003
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Matti T. Groehn; Katy Boerner, Editor(s)

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