The moving object segmentation approach to vehicle extraction

Chao Jung Chen; Chung Cheng Chiu; Bing-Fei Wu; Shin Ping Lin; Chia Da Huang

doi:10.1109/ICNSC.2004.1297402

The moving object segmentation approach to vehicle extraction

Chao Jung Chen^*, Chung Cheng Chiu, Bing-Fei Wu, Shin Ping Lin, Chia Da Huang

^*Corresponding author for this work

National Chiao Tung University

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

6 Scopus citations

Abstract

In this study, we propose a moving object segmentation approach based on an efficient and real-time color background extraction. We use the statistical algorithm to obtain the color background and moving objects information efficiently. Then we perform the run-length algorithm to compensate the segmented objects and update the background real-time. The variation of the illuminative condition is also considered in our work. Several experimental results are illustrated to show the advantage of the proposed work on processing time and the segmented result.

Original language	English
Title of host publication	Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control
Pages	19-23
Number of pages	5
DOIs	https://doi.org/10.1109/ICNSC.2004.1297402
State	Published - 28 Jun 2004
Event	Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan Duration: 21 Mar 2004 → 23 Mar 2004

Publication series

Name	Conference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume	1

Conference

Conference	Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
Country	Taiwan
City	Taipei
Period	21/03/04 → 23/03/04

Keywords

Background Extraction
Moving Object Segmentation

Access to Document

10.1109/ICNSC.2004.1297402

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Cite this

Chen, C. J., Chiu, C. C., Wu, B-F., Lin, S. P., & Huang, C. D. (2004). The moving object segmentation approach to vehicle extraction. In Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control (pp. 19-23). (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 1). https://doi.org/10.1109/ICNSC.2004.1297402

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title = "The moving object segmentation approach to vehicle extraction",

abstract = "In this study, we propose a moving object segmentation approach based on an efficient and real-time color background extraction. We use the statistical algorithm to obtain the color background and moving objects information efficiently. Then we perform the run-length algorithm to compensate the segmented objects and update the background real-time. The variation of the illuminative condition is also considered in our work. Several experimental results are illustrated to show the advantage of the proposed work on processing time and the segmented result.",

keywords = "Background Extraction, Moving Object Segmentation",

author = "Chen, {Chao Jung} and Chiu, {Chung Cheng} and Bing-Fei Wu and Lin, {Shin Ping} and Huang, {Chia Da}",

year = "2004",

month = jun,

day = "28",

doi = "10.1109/ICNSC.2004.1297402",

language = "English",

isbn = "0780381939",

series = "Conference Proceeding - IEEE International Conference on Networking, Sensing and Control",

pages = "19--23",

booktitle = "Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control",

note = "null ; Conference date: 21-03-2004 Through 23-03-2004",

}

Chen, CJ, Chiu, CC, Wu, B-F, Lin, SP & Huang, CD 2004, The moving object segmentation approach to vehicle extraction. in Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control. Conference Proceeding - IEEE International Conference on Networking, Sensing and Control, vol. 1, pp. 19-23, Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control, Taipei, Taiwan, 21/03/04. https://doi.org/10.1109/ICNSC.2004.1297402

The moving object segmentation approach to vehicle extraction. / Chen, Chao Jung; Chiu, Chung Cheng; Wu, Bing-Fei; Lin, Shin Ping; Huang, Chia Da.

Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control. 2004. p. 19-23 (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 1).

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

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AU - Lin, Shin Ping

AU - Huang, Chia Da

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AB - In this study, we propose a moving object segmentation approach based on an efficient and real-time color background extraction. We use the statistical algorithm to obtain the color background and moving objects information efficiently. Then we perform the run-length algorithm to compensate the segmented objects and update the background real-time. The variation of the illuminative condition is also considered in our work. Several experimental results are illustrated to show the advantage of the proposed work on processing time and the segmented result.

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