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Authors: Xiaohui Huang ; Tania Banerjee ; Ke Chen ; Naga Venkata Sai Varanasi ; Anand Rangarajan and Sanjay Ranka

Affiliation: Modern Artificial Intelligence and Learning Technologies (MALT) Lab, University of Florida, U.S.A.

Keyword(s): Near-Miss Detection, Fisheye Camera, Intersection Video, Calibration, Thin-plate Spline, Deep Learning.

Abstract: Video-based sensors are ubiquitous and are therefore indispensable in understanding traffic behavior at intersections. Deriving near-misses from large scale video processing is extremely useful in assessing the level of safety of intersections. In this paper, we develop real-time or near real-time algorithms for detecting near-misses for intersection video collected using fisheye cameras. We propose a novel method consisting of the following steps: 1) extracting objects and multiple object tracking features using convolutional neural networks; 2) densely mapping object coordinates to an overhead map; 3) learning to detect near-misses by new distance measures and temporal motion. The experimental results demonstrate the effectiveness of our approach with real-time performance at 40 fps and high specificity.

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Paper citation in several formats:
Huang, X.; Banerjee, T.; Chen, K.; Varanasi, N.; Rangarajan, A. and Ranka, S. (2020). Machine Learning based Video Processing for Real-time Near-Miss Detection. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 169-179. DOI: 10.5220/0009345401690179

@conference{vehits20,
author={Xiaohui Huang. and Tania Banerjee. and Ke Chen. and Naga Venkata Sai Varanasi. and Anand Rangarajan. and Sanjay Ranka.},
title={Machine Learning based Video Processing for Real-time Near-Miss Detection},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2020},
pages={169-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009345401690179},
isbn={978-989-758-419-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Machine Learning based Video Processing for Real-time Near-Miss Detection
SN - 978-989-758-419-0
IS - 2184-495X
AU - Huang, X.
AU - Banerjee, T.
AU - Chen, K.
AU - Varanasi, N.
AU - Rangarajan, A.
AU - Ranka, S.
PY - 2020
SP - 169
EP - 179
DO - 10.5220/0009345401690179
PB - SciTePress