A method of real-time detection for distant moving obstacles by monocular vision

Bao-zhi Jia; Ming Zhu

doi:10.1117/12.2049693

24 December 2013 A method of real-time detection for distant moving obstacles by monocular vision

Bao-zhi Jia, Ming Zhu

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906706 (2013) https://doi.org/10.1117/12.2049693
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

In this paper, we propose an approach for detection of distant moving obstacles like cars and bicycles by a monocular camera to cooperate with ultrasonic sensors in low-cost condition. We are aiming at detecting distant obstacles that move toward our autonomous navigation car in order to give alarm and keep away from them. Method of frame differencing is applied to find obstacles after compensation of camera’s ego-motion. Meanwhile, each obstacle is separated from others in an independent area and given a confidence level to indicate whether it is coming closer. The results on an open dataset and our own autonomous navigation car have proved that the method is effective for detection of distant moving obstacles in real-time.

Citation Download Citation

Bao-zhi Jia and Ming Zhu "A method of real-time detection for distant moving obstacles by monocular vision", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906706 (24 December 2013); https://doi.org/10.1117/12.2049693

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