Active Traffic Monitoring Through Large Scale Processing of Aerial Camera Array Networks [supporting dataset]

Sarasua, Wayne A.; Zhao, Xi; Davis, William J.; Clemson University

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Active Traffic Monitoring Through Large Scale Processing of Aerial Camera Array Networks [supporting dataset]

2020-03-01
See Associated Publication(s)
By Sarasua, Wayne A. ; Zhao, Xi ; Davis, William J.

[PDF-141.53 KB]

English

Details Supporting Files Publications You May Also Like

Details:

Creators:

Sarasua, Wayne A. ; Zhao, Xi ; Davis, William J.

Sarasua, Wayne A. ; Zhao, Xi ; Davis, William J. Less -
Corporate Creators:

Clemson University
Corporate Contributors:

Center for Connected Multimodal Mobility, Clemson University
Subject/TRT Terms:

[+]

Aerial Camera Arrays Aerial Photography Algorithms Automatic Braking Automatic Vehicle Detection And Identification Systems Computer Vision Data Collection Deep Learning Information Processing Mapping Traffic Data Traffic Surveillance Vehicle Mapping Vehicle Tracking
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Center for Connected Multimodal Mobility, Clemson University
Abstract:

This research focuses on automated processing of video from a persistent surveillance camera array to extract traffic data from a 25 square mile area. In previous research, we developed an automated traffic surveillance system capable of processing aerial camera array imagery to extract valid and useful traffic data for diverse applications. In this research, we continue to improve the system’s capability by adding a novel multiple hypothesis tracking capabilities to improve vehicle tracking in congested traffic and adding a location identification algorithm to map vehicles throughout a network. Our evaluation has shown that the proposed system is capable of collecting speed, density, and volume data with an acceptable level of accuracy for many applications. The mapping of vehicles for a sample area was also successful. With further research, improved video preprocessing, enhanced resolution, and a higher frame rate, the accuracy of tracking vehicles can be improved significantly which will eventually allow the envisioned system to be able to accurately map the location of all vehicles throughout a camera array image sequence. A digital real-time “traffic map” created by the envisioned system will provide a robust data set where data mining methods could be applied to enhance traffic management and provide data for a variety of traffic studies. A connected vehicle camera array application can open up plenty of possibilities in real-time traffic surveillance where erratic drivers can be identified automatically and warnings or even shut down commands can be sent to the erratic vehicles. The active sensing capability of such a system can potentially prevent some incidents from occurring thereby increasing safety and reducing incident induced traffic congestion.
Format:

PDF
Funding:

69A3551747117
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:f1ba102a24cf7fe252e79f47ebd5a0c95f7397b0518f30cf12fd8530e222a3a6
Download URL:

https://rosap.ntl.bts.gov/view/dot/57034/dot_57034_DS1.pdf
File Type:

Active Traffic Monitoring Through Large Scale Processing of Aerial Camera

json

More +