A Visual Analytics System for Processed Videos from Traffic Intersections

Ke Chen, Tania Banerjee, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka

Abstract

Traffic intersections are the most crucial areas that determine the efficiency of a road network. With the advances in technology, it is now possible to gather real-time data on the performance of an intersection and identify potential inefficiencies. The goal of our work is to develop a visual analytics framework based on videos collected at an intersection using fisheye cameras. The software developed as part of this work is described in detail, along with its utility and usability. The software may be used to filter and display tracks and sort them based on the most frequent signaling phases encountered at an intersection. The software may be used to study anomalous trajectories, such as those that have unusual shapes and those that occur at times that violate the ongoing signal phase. While being useful for analyzing the trajectories at an intersection, the software is also convenient for developers seeking to validate algorithms for the trajectory generation process, object classification, preprocessing, and clustering trajectories.

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Paper Citation


in Harvard Style

Chen K., Banerjee T., Huang X., Rangarajan A. and Ranka S. (2020). A Visual Analytics System for Processed Videos from Traffic Intersections.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 68-77. DOI: 10.5220/0009422300680077


in Bibtex Style

@conference{vehits20,
author={Ke Chen and Tania Banerjee and Xiaohui Huang and Anand Rangarajan and Sanjay Ranka},
title={A Visual Analytics System for Processed Videos from Traffic Intersections},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={68-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009422300680077},
isbn={978-989-758-419-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - A Visual Analytics System for Processed Videos from Traffic Intersections
SN - 978-989-758-419-0
AU - Chen K.
AU - Banerjee T.
AU - Huang X.
AU - Rangarajan A.
AU - Ranka S.
PY - 2020
SP - 68
EP - 77
DO - 10.5220/0009422300680077