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Citation |
Atev S, Arumugam H, Masoud O, Janardan R, Papanikolopoulos NP. IEEE Trans. Intel. Transp. Syst. 2005; 6(4): 416-423. |
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Copyright |
(Copyright © 2005, IEEE (Institute of Electrical and Electronics Engineers)) |
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DOI |
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PMID |
unavailable |
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Abstract |
Monitoring traffic intersections in real time and predicting possible collisions is an important first step towards building an early collision-warning system. We present a vision-based system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. Innovative low-overhead collision-prediction algorithms (such as the one using the time-as-axis paradigm) are presented. The proposed system was able to perform successfully in real time on videos of quarter-video graphics array (VGA) (320 times; 240) resolution under various weather conditions. The errors in target position and dimension estimates in a test video sequence are quantified and several experimental results are presented. |