loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ke Chen ; Tania Banerjee ; Xiaohui Huang ; Anand Rangarajan and Sanjay Ranka

Affiliation: CISE, University of Florida, Gainesville, Florida, U.S.A.

Keyword(s): Visual Analytics, Intersection Traffic Analysis, Trajectory Analysis, Anomaly Detection.

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 clas sification, preprocessing, and clustering trajectories. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.197.113.64

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 68-77. DOI: 10.5220/0009422300680077

@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 - VEHITS},
year={2020},
pages={68-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009422300680077},
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 - A Visual Analytics System for Processed Videos from Traffic Intersections
SN - 978-989-758-419-0
IS - 2184-495X
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
PB - SciTePress