Human silhouette extraction method using region based background subtraction

Jung Ho Ahn; Hyeran Byun

doi:10.1007/978-3-540-71457-6_37

Human silhouette extraction method using region based background subtraction

Jung Ho Ahn, Hyeran Byun

College of Computing

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

2 Citations (Scopus)

Abstract

Background subtraction methods have been used to obtain human silhouettes for gesture and gait recognition. However, background subtraction in pixel units is prone to error which decreases recognition performance significantly. In this paper we propose a novel background subtraction method that extracts foreground objects in region units. Together with the background model, an object's color and movement information are used to obtain the effective region object likelihood. Then an adaptive region decision function determines the object regions. Also, the sequential version of Horprasert's algorithm[2] is presented.

Original language	English
Title of host publication	Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
Publisher	Springer Verlag
Pages	412-420
Number of pages	9
ISBN (Print)	3540714561, 9783540714569
DOIs	https://doi.org/10.1007/978-3-540-71457-6_37
Publication status	Published - 2007
Event	3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques - Rocquencourt, France Duration: 2007 Mar 28 → 2007 Mar 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4418 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
Country/Territory	France
City	Rocquencourt
Period	07/3/28 → 07/3/30

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-71457-6_37

Cite this

Ahn, J. H., & Byun, H. (2007). Human silhouette extraction method using region based background subtraction. In Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings (pp. 412-420). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4418 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-71457-6_37

Ahn, Jung Ho ; Byun, Hyeran. / Human silhouette extraction method using region based background subtraction. Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Springer Verlag, 2007. pp. 412-420 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d0dee0f41df94adcb4218d0236d86083,

title = "Human silhouette extraction method using region based background subtraction",

abstract = "Background subtraction methods have been used to obtain human silhouettes for gesture and gait recognition. However, background subtraction in pixel units is prone to error which decreases recognition performance significantly. In this paper we propose a novel background subtraction method that extracts foreground objects in region units. Together with the background model, an object's color and movement information are used to obtain the effective region object likelihood. Then an adaptive region decision function determines the object regions. Also, the sequential version of Horprasert's algorithm[2] is presented.",

author = "Ahn, {Jung Ho} and Hyeran Byun",

year = "2007",

doi = "10.1007/978-3-540-71457-6_37",

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isbn = "3540714561",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "412--420",

booktitle = "Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings",

address = "Germany",

note = "3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques ; Conference date: 28-03-2007 Through 30-03-2007",

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Ahn, JH & Byun, H 2007, Human silhouette extraction method using region based background subtraction. in Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4418 LNCS, Springer Verlag, pp. 412-420, 3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques, Rocquencourt, France, 07/3/28. https://doi.org/10.1007/978-3-540-71457-6_37

Human silhouette extraction method using region based background subtraction. / Ahn, Jung Ho; Byun, Hyeran.
Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Springer Verlag, 2007. p. 412-420 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4418 LNCS).

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

TY - GEN

T1 - Human silhouette extraction method using region based background subtraction

AU - Ahn, Jung Ho

AU - Byun, Hyeran

PY - 2007

Y1 - 2007

N2 - Background subtraction methods have been used to obtain human silhouettes for gesture and gait recognition. However, background subtraction in pixel units is prone to error which decreases recognition performance significantly. In this paper we propose a novel background subtraction method that extracts foreground objects in region units. Together with the background model, an object's color and movement information are used to obtain the effective region object likelihood. Then an adaptive region decision function determines the object regions. Also, the sequential version of Horprasert's algorithm[2] is presented.

AB - Background subtraction methods have been used to obtain human silhouettes for gesture and gait recognition. However, background subtraction in pixel units is prone to error which decreases recognition performance significantly. In this paper we propose a novel background subtraction method that extracts foreground objects in region units. Together with the background model, an object's color and movement information are used to obtain the effective region object likelihood. Then an adaptive region decision function determines the object regions. Also, the sequential version of Horprasert's algorithm[2] is presented.

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DO - 10.1007/978-3-540-71457-6_37

M3 - Conference contribution

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SN - 3540714561

SN - 9783540714569

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 412

EP - 420

BT - Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings

PB - Springer Verlag

T2 - 3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques

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ER -

Ahn JH, Byun H. Human silhouette extraction method using region based background subtraction. In Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Springer Verlag. 2007. p. 412-420. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-71457-6_37

Human silhouette extraction method using region based background subtraction

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