A collision prediction system for traffic intersections

Monitoring traffic intersections in real-time and predicting possible collisions is an important first step towards building an early collision warning system. We present the general vision methods used in a system addressing this problem and describe the practical adaptations necessary to achieve r...

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Bibliographic Details
Main Authors: Atev, S., Masoud, O., Janardan, R., Papanikolopoulos, N.
Format: Conference Proceeding
Language:English
Subjects:
Alarm systems
Cameras
Collision prediction
Coordinate measuring machines
Machine vision
Monitoring
Prediction algorithms
Real time systems
Road accidents
Testing
Tracking
Traffic control (transportation)
Vehicles
Videos
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Description
Summary:Monitoring traffic intersections in real-time and predicting possible collisions is an important first step towards building an early collision warning system. We present the general vision methods used in a system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. A novel method for three-dimensional vehicle size estimation is presented. We also describe a method for target localization in real-world coordinates which allows for sequential incorporation of measurements from multiple cameras into a single target's state vector. Additionally, a fast implementation of a false-positive reduction method for the foreground pixel masks is developed. Finally, a low-overhead collision prediction algorithm using the time-as-axis paradigm is presented. The proposed system was able to perform in real-time on videos of quarter-VGA (320/spl times/240) resolution. The errors in target position and dimension estimates in a test video sequence are quantified.
ISSN:2153-0858
2153-0866
DOI:10.1109/IROS.2005.1545407