Intraframe Scene Capturing and Speed Measurement Based on Superimposed Image: New Sensor Concept for Vehicle Speed Measurement

Joint Authors

Nemeth, Mate
Zarandy, Akos

Source

Journal of Sensors

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-01-06

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

A vision based vehicle speed measurement method is presented in this paper.

The proposed intraframe method calculates speed estimates based on a single frame of a single camera.

With a special double exposure, a superimposed image can be obtained, where motion blur appears significantly only in the bright regions of the otherwise sharp image.

This motion blur contains information of the movement of bright objects during the exposure.

Most papers in the field of motion blur are aiming at the removal of this image degradation effect.

In this work, we utilize it for a novel speed measurement approach.

An applicable sensor structure and exposure-control system are also shown, as well as the applied image processing methods and experimental results.

American Psychological Association (APA)

Nemeth, Mate& Zarandy, Akos. 2016. Intraframe Scene Capturing and Speed Measurement Based on Superimposed Image: New Sensor Concept for Vehicle Speed Measurement. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110660

Modern Language Association (MLA)

Nemeth, Mate& Zarandy, Akos. Intraframe Scene Capturing and Speed Measurement Based on Superimposed Image: New Sensor Concept for Vehicle Speed Measurement. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110660

American Medical Association (AMA)

Nemeth, Mate& Zarandy, Akos. Intraframe Scene Capturing and Speed Measurement Based on Superimposed Image: New Sensor Concept for Vehicle Speed Measurement. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110660

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1110660