University of Illinois Urbana-Champaign

Opportunistic Traffic Sensing Using Existing Video Sources (Phase II)

Eriksson, J.; Jin, Y.; Gerlich, T.

Content Files
FHWA-ICT-17-002.pdf

Permalink

https://hdl.handle.net/2142/95728

Description

Title
Opportunistic Traffic Sensing Using Existing Video Sources (Phase II)
Author(s)
  • Eriksson, J.
  • Jin, Y.
  • Gerlich, T.
Issue Date
2017-02
Keyword(s)
  • computer vision
  • vehicle tracking
  • optical flow
Date of Ingest
2017-03-14T15:28:00Z
Abstract
The purpose of the project reported on here was to investigate methods for automatic traffic sensing using traffic surveillance cameras, red light cameras, and other permanent and pre-existing video sources. Success in this direction would potentially yield the ability to produce continuous, daily traffic counts where such video sources exist, as compared to the occasional traffic studies performed today. The methods investigated come from the field of computer vision, including optical flow, background subtraction, and object detection and tracking, as well as control theory for the fusing of the results of these methods. Our system outperforms the state of the art in vehicle tracking, and it runs at faster frame rate. More work remains in improving robustness to occlusion and to improve accuracy of nighttime imagery.
Publisher
Illinois Center for Transportation/Illinois Department of Transportation
Series/Report Name or Number
ICT Series No. 17-003; FHWA-ICT-17-002
ISSN
0197-9191
Type of Resource
text
Genre of Resource
Technical Report
Language
en
Permalink
http://hdl.handle.net/2142/95728
Sponsor(s)/Grant Number(s)
Illinois Department of Transportation, R27-169
Copyright and License Information
No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161.

Owning Collections

Research and Publications - Illinois Center for Transportation PRIMARY