Quality enhancement for feature matching on car black box videos

Christian Simon; Man Hee Lee; In Kyu Park

doi:10.1109/APSIPA.2014.7041750

Quality enhancement for feature matching on car black box videos

Christian Simon, Man Hee Lee, In Kyu Park

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

Abstract

Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this paper, a novel tone stabilization is proposed to enhance the performance of further applied algorithms like detecting and matching visual features across video frames. The proposed technique utilizes multiple anchor frames as references to smooth tone fluctuation between them. Experimental result shows the improvement of tone consistency as well as feature detection and matching accuracy on car black box videos with varying tone over time.

Original language	English
Title of host publication	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9786163618238
DOIs	https://doi.org/10.1109/APSIPA.2014.7041750
Publication status	Published - 2014
Externally published	Yes
Event	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2014 - Chiang Mai, Thailand Duration: 9 Dec 2014 → 12 Dec 2014 https://ieeexplore.ieee.org/xpl/conhome/7016284/proceeding (Proceedings)

Publication series

Name	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Conference

Conference	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2014
Abbreviated title	APSIPA ASC 2014
Country/Territory	Thailand
City	Chiang Mai
Period	9/12/14 → 12/12/14
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7016284/proceeding (Proceedings)

Access to Document

10.1109/APSIPA.2014.7041750

Cite this

Simon, C., Lee, M. H., & Park, I. K. (2014). Quality enhancement for feature matching on car black box videos. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 Article 7041750 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APSIPA.2014.7041750

Simon, Christian ; Lee, Man Hee ; Park, In Kyu. / Quality enhancement for feature matching on car black box videos. 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. IEEE, Institute of Electrical and Electronics Engineers, 2014. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

@inproceedings{e588b8f758374630af5a6d1a58c15d11,

title = "Quality enhancement for feature matching on car black box videos",

abstract = "Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this paper, a novel tone stabilization is proposed to enhance the performance of further applied algorithms like detecting and matching visual features across video frames. The proposed technique utilizes multiple anchor frames as references to smooth tone fluctuation between them. Experimental result shows the improvement of tone consistency as well as feature detection and matching accuracy on car black box videos with varying tone over time.",

author = "Christian Simon and Lee, \{Man Hee\} and Park, \{In Kyu\}",

note = "Publisher Copyright: {\textcopyright} 2014 Asia-Pacific Signal and Information Processing Ass.; Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2014, APSIPA ASC 2014 ; Conference date: 09-12-2014 Through 12-12-2014",

year = "2014",

doi = "10.1109/APSIPA.2014.7041750",

language = "English",

series = "2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

booktitle = "2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/7016284/proceeding",

}

Simon, C, Lee, MH & Park, IK 2014, Quality enhancement for feature matching on car black box videos. in 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014., 7041750, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, IEEE, Institute of Electrical and Electronics Engineers, Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2014, Chiang Mai, Thailand, 9/12/14. https://doi.org/10.1109/APSIPA.2014.7041750

Quality enhancement for feature matching on car black box videos. / Simon, Christian; Lee, Man Hee; Park, In Kyu.
2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. IEEE, Institute of Electrical and Electronics Engineers, 2014. 7041750 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

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

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AU - Lee, Man Hee

AU - Park, In Kyu

PY - 2014

Y1 - 2014

N2 - Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this paper, a novel tone stabilization is proposed to enhance the performance of further applied algorithms like detecting and matching visual features across video frames. The proposed technique utilizes multiple anchor frames as references to smooth tone fluctuation between them. Experimental result shows the improvement of tone consistency as well as feature detection and matching accuracy on car black box videos with varying tone over time.

AB - Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this paper, a novel tone stabilization is proposed to enhance the performance of further applied algorithms like detecting and matching visual features across video frames. The proposed technique utilizes multiple anchor frames as references to smooth tone fluctuation between them. Experimental result shows the improvement of tone consistency as well as feature detection and matching accuracy on car black box videos with varying tone over time.

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DO - 10.1109/APSIPA.2014.7041750

M3 - Conference Paper

AN - SCOPUS:84983109349

T3 - 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

BT - 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

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Simon C, Lee MH, Park IK. Quality enhancement for feature matching on car black box videos. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. IEEE, Institute of Electrical and Electronics Engineers. 2014. 7041750. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). doi: 10.1109/APSIPA.2014.7041750

Quality enhancement for feature matching on car black box videos

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