Moving object localization in thermal imagery by forward-backward MHI

Yin Zhaozheng; Robert Collins

doi:10.1109/CVPRW.2006.131

Moving object localization in thermal imagery by forward-backward MHI

Yin Zhaozheng
, Robert Collins

Computer Science and Engineering

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

67 Scopus citations

Abstract

Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information in not available, and even intensity appearance may be camouflaged. Previous motion-based moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.

Original language	English (US)
Title of host publication	2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006
DOIs	https://doi.org/10.1109/CVPRW.2006.131
State	Published - 2006
Event	2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006 - New York, NY, United States Duration: Jun 17 2006 → Jun 22 2006

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006
Country/Territory	United States
City	New York, NY
Period	6/17/06 → 6/22/06

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1109/CVPRW.2006.131

Cite this

@inproceedings{23e452529f474d08b1b4158ac208f81d,

title = "Moving object localization in thermal imagery by forward-backward MHI",

abstract = "Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information in not available, and even intensity appearance may be camouflaged. Previous motion-based moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.",

author = "Yin Zhaozheng and Robert Collins",

year = "2006",

doi = "10.1109/CVPRW.2006.131",

language = "English (US)",

isbn = "0769526462",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

booktitle = "2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006",

note = "2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006 ; Conference date: 17-06-2006 Through 22-06-2006",

}

Zhaozheng, Y & Collins, R 2006, Moving object localization in thermal imagery by forward-backward MHI. in 2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006., 1640578, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006, New York, NY, United States, 6/17/06. https://doi.org/10.1109/CVPRW.2006.131

Moving object localization in thermal imagery by forward-backward MHI. / Zhaozheng, Yin; Collins, Robert.
2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006. 2006. 1640578 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

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AU - Collins, Robert

PY - 2006

Y1 - 2006

N2 - Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information in not available, and even intensity appearance may be camouflaged. Previous motion-based moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.

AB - Detecting moving objects automatically is a key component of an automatic visual surveillance and tracking system. In airborne thermal video, the moving objects may be small, color information in not available, and even intensity appearance may be camouflaged. Previous motion-based moving object detection approaches often use background subtraction, inter-frame difference or three-frame difference. In this paper, we describe a detection and localization method based on forward-backward motion history images (MHI). This method can accurately detect location and shape of moving objects for initializing a tracker. Using long and varied video sequences, we quantify the effectiveness of this method.

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U2 - 10.1109/CVPRW.2006.131

DO - 10.1109/CVPRW.2006.131

M3 - Conference contribution

AN - SCOPUS:33845533366

SN - 0769526462

SN - 9780769526461

T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

BT - 2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006

T2 - 2006 Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2006

Y2 - 17 June 2006 through 22 June 2006

ER -

Moving object localization in thermal imagery by forward-backward MHI

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

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