Human action recognition based on non-negative matrix factorization

Chih Yang Lin; Bo You Chen; Wen Chuan Wu; Wei Yang Lin; Chia Ling Tsai

doi:10.1109/APSIPA.2015.7415440

Human action recognition based on non-negative matrix factorization

Chih Yang Lin, Bo You Chen, Wen Chuan Wu, Wei Yang Lin, Chia Ling Tsai

Department of Mechanical Engineering

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

2 Scopus citations

Abstract

In this paper, we propose a method to recognize human behavior by combining motion history images (MHI) and non-negative matrix factorization (NMF). The MHI preserves the temporal information of a behavior by holding the temporal motion appearance. Then, NMF is applied to extract the middle-level features of the moving object. The experimental results show that the proposed scheme can achieve robust recognition results using a public dataset.

Original language	English
Title of host publication	2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1091-1093
Number of pages	3
ISBN (Electronic)	9789881476807
DOIs	https://doi.org/10.1109/APSIPA.2015.7415440
State	Published - 19 Feb 2016
Event	2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong Duration: 16 Dec 2015 → 19 Dec 2015

Publication series

Name	2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

Conference

Conference	2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
Country/Territory	Hong Kong
City	Hong Kong
Period	16/12/15 → 19/12/15

Keywords

Action recognition
motion history image
non-negative matrix factorization

Access to Document

10.1109/APSIPA.2015.7415440

Cite this

Lin, C. Y., Chen, B. Y., Wu, W. C., Lin, W. Y., & Tsai, C. L. (2016). Human action recognition based on non-negative matrix factorization. In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 (pp. 1091-1093). Article 7415440 (2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2015.7415440

Lin, Chih Yang ; Chen, Bo You ; Wu, Wen Chuan et al. / Human action recognition based on non-negative matrix factorization. 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1091-1093 (2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015).

@inproceedings{dc88597c59314d43aa4306797080d9ed,

title = "Human action recognition based on non-negative matrix factorization",

abstract = "In this paper, we propose a method to recognize human behavior by combining motion history images (MHI) and non-negative matrix factorization (NMF). The MHI preserves the temporal information of a behavior by holding the temporal motion appearance. Then, NMF is applied to extract the middle-level features of the moving object. The experimental results show that the proposed scheme can achieve robust recognition results using a public dataset.",

keywords = "Action recognition, motion history image, non-negative matrix factorization",

author = "Lin, {Chih Yang} and Chen, {Bo You} and Wu, {Wen Chuan} and Lin, {Wei Yang} and Tsai, {Chia Ling}",

note = "Publisher Copyright: {\textcopyright} 2015 Asia-Pacific Signal and Information Processing Association.; 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 ; Conference date: 16-12-2015 Through 19-12-2015",

year = "2016",

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series = "2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Lin, CY, Chen, BY, Wu, WC, Lin, WY & Tsai, CL 2016, Human action recognition based on non-negative matrix factorization. in 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015., 7415440, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1091-1093, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015, Hong Kong, Hong Kong, 16/12/15. https://doi.org/10.1109/APSIPA.2015.7415440

Human action recognition based on non-negative matrix factorization. / Lin, Chih Yang; Chen, Bo You; Wu, Wen Chuan et al.
2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1091-1093 7415440 (2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015).

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

TY - GEN

T1 - Human action recognition based on non-negative matrix factorization

AU - Lin, Chih Yang

AU - Chen, Bo You

AU - Wu, Wen Chuan

AU - Lin, Wei Yang

AU - Tsai, Chia Ling

PY - 2016/2/19

Y1 - 2016/2/19

N2 - In this paper, we propose a method to recognize human behavior by combining motion history images (MHI) and non-negative matrix factorization (NMF). The MHI preserves the temporal information of a behavior by holding the temporal motion appearance. Then, NMF is applied to extract the middle-level features of the moving object. The experimental results show that the proposed scheme can achieve robust recognition results using a public dataset.

AB - In this paper, we propose a method to recognize human behavior by combining motion history images (MHI) and non-negative matrix factorization (NMF). The MHI preserves the temporal information of a behavior by holding the temporal motion appearance. Then, NMF is applied to extract the middle-level features of the moving object. The experimental results show that the proposed scheme can achieve robust recognition results using a public dataset.

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KW - motion history image

KW - non-negative matrix factorization

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DO - 10.1109/APSIPA.2015.7415440

M3 - 會議論文篇章

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T3 - 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

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BT - 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

Y2 - 16 December 2015 through 19 December 2015

ER -

Lin CY, Chen BY, Wu WC, Lin WY, Tsai CL. Human action recognition based on non-negative matrix factorization. In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1091-1093. 7415440. (2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015). doi: 10.1109/APSIPA.2015.7415440

Human action recognition based on non-negative matrix factorization

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