Video Volume Segmentation for Event Detection

Jing Wang, Zhijie Xu, Qian Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient 3D segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the preprocessing of the original video data. An evaluation on the performance of the developed methods is presented at the end.

Original languageEnglish
Title of host publicationProceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization
Subtitle of host publicationNew Advances and Trends - CGIV 2009
EditorsEbad Banissi, Muhammad Sarfraz, Jiawan Zhang, Anna Ursyn, Wong Chow Jeng, Mark W. McK. Bannatyne, Jian J. Zhang, Lim Hwee San, Mao Lin Huang
Place of PublicationLos Alamitos
PublisherIEEE
Pages311-316
Number of pages6
ISBN (Print)9780769537894
DOIs
Publication statusPublished - 30 Oct 2009
Event6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends - Tianjin, China
Duration: 11 Aug 200914 Aug 2009
Conference number: 6

Conference

Conference6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends
Abbreviated titleCGIV2009
CountryChina
CityTianjin
Period11/08/0914/08/09

Fingerprint

Data compression
Processing
Experiments

Cite this

Wang, J., Xu, Z., & Xu, Q. (2009). Video Volume Segmentation for Event Detection. In E. Banissi, M. Sarfraz, J. Zhang, A. Ursyn, W. C. Jeng, M. W. M. Bannatyne, J. J. Zhang, L. H. San, ... M. L. Huang (Eds.), Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends - CGIV 2009 (pp. 311-316). [5298840] Los Alamitos: IEEE. https://doi.org/10.1109/CGIV.2009.36
Wang, Jing ; Xu, Zhijie ; Xu, Qian. / Video Volume Segmentation for Event Detection. Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends - CGIV 2009. editor / Ebad Banissi ; Muhammad Sarfraz ; Jiawan Zhang ; Anna Ursyn ; Wong Chow Jeng ; Mark W. McK. Bannatyne ; Jian J. Zhang ; Lim Hwee San ; Mao Lin Huang. Los Alamitos : IEEE, 2009. pp. 311-316
@inproceedings{a1d37c8c70e147f78314ae32fbb61d90,
title = "Video Volume Segmentation for Event Detection",
abstract = "Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient 3D segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the preprocessing of the original video data. An evaluation on the performance of the developed methods is presented at the end.",
keywords = "Feature extraction, Segmentation, Spatio-temporal volume, Video processing",
author = "Jing Wang and Zhijie Xu and Qian Xu",
year = "2009",
month = "10",
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doi = "10.1109/CGIV.2009.36",
language = "English",
isbn = "9780769537894",
pages = "311--316",
editor = "Banissi, {Ebad } and Muhammad Sarfraz and Jiawan Zhang and Anna Ursyn and Jeng, {Wong Chow} and Bannatyne, {Mark W. McK.} and Zhang, {Jian J.} and San, {Lim Hwee} and Huang, {Mao Lin}",
booktitle = "Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization",
publisher = "IEEE",

}

Wang, J, Xu, Z & Xu, Q 2009, Video Volume Segmentation for Event Detection. in E Banissi, M Sarfraz, J Zhang, A Ursyn, WC Jeng, MWM Bannatyne, JJ Zhang, LH San & ML Huang (eds), Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends - CGIV 2009., 5298840, IEEE, Los Alamitos, pp. 311-316, 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, Tianjin, China, 11/08/09. https://doi.org/10.1109/CGIV.2009.36

Video Volume Segmentation for Event Detection. / Wang, Jing; Xu, Zhijie; Xu, Qian.

Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends - CGIV 2009. ed. / Ebad Banissi; Muhammad Sarfraz; Jiawan Zhang; Anna Ursyn; Wong Chow Jeng; Mark W. McK. Bannatyne; Jian J. Zhang; Lim Hwee San; Mao Lin Huang. Los Alamitos : IEEE, 2009. p. 311-316 5298840.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Video Volume Segmentation for Event Detection

AU - Wang, Jing

AU - Xu, Zhijie

AU - Xu, Qian

PY - 2009/10/30

Y1 - 2009/10/30

N2 - Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient 3D segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the preprocessing of the original video data. An evaluation on the performance of the developed methods is presented at the end.

AB - Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient 3D segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the preprocessing of the original video data. An evaluation on the performance of the developed methods is presented at the end.

KW - Feature extraction

KW - Segmentation

KW - Spatio-temporal volume

KW - Video processing

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U2 - 10.1109/CGIV.2009.36

DO - 10.1109/CGIV.2009.36

M3 - Conference contribution

AN - SCOPUS:70549092921

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BT - Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization

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A2 - Sarfraz, Muhammad

A2 - Zhang, Jiawan

A2 - Ursyn, Anna

A2 - Jeng, Wong Chow

A2 - Bannatyne, Mark W. McK.

A2 - Zhang, Jian J.

A2 - San, Lim Hwee

A2 - Huang, Mao Lin

PB - IEEE

CY - Los Alamitos

ER -

Wang J, Xu Z, Xu Q. Video Volume Segmentation for Event Detection. In Banissi E, Sarfraz M, Zhang J, Ursyn A, Jeng WC, Bannatyne MWM, Zhang JJ, San LH, Huang ML, editors, Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends - CGIV 2009. Los Alamitos: IEEE. 2009. p. 311-316. 5298840 https://doi.org/10.1109/CGIV.2009.36