Opportunistic Traffic Sensing Using Existing Video Sources (Phase II)

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

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

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

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

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.

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