Night-time vehicle detection using low exposure video enhancement and lamp detection

Jin Woo Park; Byung Cheol Song

doi:10.1109/ELINFOCOM.2016.7563005

Night-time vehicle detection using low exposure video enhancement and lamp detection

Jin Woo Park, Byung Cheol Song

Inha University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper proposes a vehicle detection algorithm using pre-processing and lamp detection at night-time. First, we present a vehicle detection using contrast enhancement. By applying a specific contrast enhancement to night-time images with low exposure, we can enhance salient features even at dark night-time. Next, we detect a pair of rear lamps from the pre-processed image(s). Finally, we can find forward vehicle(s) by lamp pairing. Experimental results show that the proposed algorithm provides reliable detection accuracy.

Original language	English
Title of host publication	International Conference on Electronics, Information, and Communications, ICEIC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467380164
DOIs	https://doi.org/10.1109/ELINFOCOM.2016.7563005
State	Published - 7 Sep 2016
Event	15th International Conference on Electronics, Information, and Communications, ICEIC 2016 - Danang, Viet Nam Duration: 27 Jan 2016 → 30 Jan 2016

Publication series

Name	International Conference on Electronics, Information, and Communications, ICEIC 2016

Conference

Conference	15th International Conference on Electronics, Information, and Communications, ICEIC 2016
Country/Territory	Viet Nam
City	Danang
Period	27/01/16 → 30/01/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Computer vision
contrast enhancement
driver assistance
lamp detection
pre-processing
vehicle detection

Access to Document

10.1109/ELINFOCOM.2016.7563005

Cite this

Park, J. W., & Song, B. C. (2016). Night-time vehicle detection using low exposure video enhancement and lamp detection. In International Conference on Electronics, Information, and Communications, ICEIC 2016 Article 7563005 (International Conference on Electronics, Information, and Communications, ICEIC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELINFOCOM.2016.7563005

@inproceedings{d6ce6116d37b4f4595e7eec1a1d0d72b,

title = "Night-time vehicle detection using low exposure video enhancement and lamp detection",

abstract = "This paper proposes a vehicle detection algorithm using pre-processing and lamp detection at night-time. First, we present a vehicle detection using contrast enhancement. By applying a specific contrast enhancement to night-time images with low exposure, we can enhance salient features even at dark night-time. Next, we detect a pair of rear lamps from the pre-processed image(s). Finally, we can find forward vehicle(s) by lamp pairing. Experimental results show that the proposed algorithm provides reliable detection accuracy.",

keywords = "Computer vision, contrast enhancement, driver assistance, lamp detection, pre-processing, vehicle detection",

author = "Park, \{Jin Woo\} and Song, \{Byung Cheol\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th International Conference on Electronics, Information, and Communications, ICEIC 2016 ; Conference date: 27-01-2016 Through 30-01-2016",

year = "2016",

month = sep,

day = "7",

doi = "10.1109/ELINFOCOM.2016.7563005",

language = "English",

series = "International Conference on Electronics, Information, and Communications, ICEIC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "International Conference on Electronics, Information, and Communications, ICEIC 2016",

address = "United States",

}

Park, JW & Song, BC 2016, Night-time vehicle detection using low exposure video enhancement and lamp detection. in International Conference on Electronics, Information, and Communications, ICEIC 2016., 7563005, International Conference on Electronics, Information, and Communications, ICEIC 2016, Institute of Electrical and Electronics Engineers Inc., 15th International Conference on Electronics, Information, and Communications, ICEIC 2016, Danang, Viet Nam, 27/01/16. https://doi.org/10.1109/ELINFOCOM.2016.7563005

Night-time vehicle detection using low exposure video enhancement and lamp detection. / Park, Jin Woo; Song, Byung Cheol.
International Conference on Electronics, Information, and Communications, ICEIC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7563005 (International Conference on Electronics, Information, and Communications, ICEIC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Night-time vehicle detection using low exposure video enhancement and lamp detection

AU - Park, Jin Woo

AU - Song, Byung Cheol

PY - 2016/9/7

Y1 - 2016/9/7

N2 - This paper proposes a vehicle detection algorithm using pre-processing and lamp detection at night-time. First, we present a vehicle detection using contrast enhancement. By applying a specific contrast enhancement to night-time images with low exposure, we can enhance salient features even at dark night-time. Next, we detect a pair of rear lamps from the pre-processed image(s). Finally, we can find forward vehicle(s) by lamp pairing. Experimental results show that the proposed algorithm provides reliable detection accuracy.

AB - This paper proposes a vehicle detection algorithm using pre-processing and lamp detection at night-time. First, we present a vehicle detection using contrast enhancement. By applying a specific contrast enhancement to night-time images with low exposure, we can enhance salient features even at dark night-time. Next, we detect a pair of rear lamps from the pre-processed image(s). Finally, we can find forward vehicle(s) by lamp pairing. Experimental results show that the proposed algorithm provides reliable detection accuracy.

KW - Computer vision

KW - contrast enhancement

KW - driver assistance

KW - lamp detection

KW - pre-processing

KW - vehicle detection

UR - https://www.scopus.com/pages/publications/84988891886

U2 - 10.1109/ELINFOCOM.2016.7563005

DO - 10.1109/ELINFOCOM.2016.7563005

M3 - Conference contribution

AN - SCOPUS:84988891886

T3 - International Conference on Electronics, Information, and Communications, ICEIC 2016

BT - International Conference on Electronics, Information, and Communications, ICEIC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on Electronics, Information, and Communications, ICEIC 2016

Y2 - 27 January 2016 through 30 January 2016

ER -

Park JW, Song BC. Night-time vehicle detection using low exposure video enhancement and lamp detection. In International Conference on Electronics, Information, and Communications, ICEIC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7563005. (International Conference on Electronics, Information, and Communications, ICEIC 2016). doi: 10.1109/ELINFOCOM.2016.7563005

Night-time vehicle detection using low exposure video enhancement and lamp detection

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Keywords

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