A survey on human motion analysis from depth data

Mao Ye; Qing Zhang; Liang Wang; Jiejie Zhu; Ruigang Yang; Juergen Gall

doi:10.1007/978-3-642-44964-2_8

A survey on human motion analysis from depth data

Mao Ye, Qing Zhang, Liang Wang, Jiejie Zhu, Ruigang Yang, Juergen Gall

Computer Science

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

192 Scopus citations

Abstract

Human pose estimation has been actively studied for decades. While traditional approaches rely on 2d data like images or videos, the development of Time-of-Flight cameras and other depth sensors created new opportunities to advance the field. We give an overview of recent approaches that perform human motion analysis which includes depth-based and skeleton-based activity recognition, head pose estimation, facial feature detection, facial performance capture, hand pose estimation and hand gesture recognition. While the focus is on approaches using depth data, we also discuss traditional image based methods to provide a broad overview of recent developments in these areas.

Original language	English
Title of host publication	Time-of-Flight and Depth Imaging
Subtitle of host publication	Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities
Pages	149-187
Number of pages	39
DOIs	https://doi.org/10.1007/978-3-642-44964-2_8
State	Published - 2013
Event	Dagstuhl 2012 Seminar on Time-of-Flight Imaging: Sensors, Algorithms, and Applications and Workshop on Imaging New Modalities, Held at the German Conference on Pattern Recognition, GCPR2013 - Saarbrucken, Germany Duration: Oct 21 2012 → Oct 26 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8200 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Dagstuhl 2012 Seminar on Time-of-Flight Imaging: Sensors, Algorithms, and Applications and Workshop on Imaging New Modalities, Held at the German Conference on Pattern Recognition, GCPR2013
Country/Territory	Germany
City	Saarbrucken
Period	10/21/12 → 10/26/12

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science (all)

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10.1007/978-3-642-44964-2_8

Cite this

Ye, M., Zhang, Q., Wang, L., Zhu, J., Yang, R., & Gall, J. (2013). A survey on human motion analysis from depth data. In Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities (pp. 149-187). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8200 LNCS). https://doi.org/10.1007/978-3-642-44964-2_8

Ye, Mao ; Zhang, Qing ; Wang, Liang et al. / A survey on human motion analysis from depth data. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities. 2013. pp. 149-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A survey on human motion analysis from depth data",

abstract = "Human pose estimation has been actively studied for decades. While traditional approaches rely on 2d data like images or videos, the development of Time-of-Flight cameras and other depth sensors created new opportunities to advance the field. We give an overview of recent approaches that perform human motion analysis which includes depth-based and skeleton-based activity recognition, head pose estimation, facial feature detection, facial performance capture, hand pose estimation and hand gesture recognition. While the focus is on approaches using depth data, we also discuss traditional image based methods to provide a broad overview of recent developments in these areas.",

author = "Mao Ye and Qing Zhang and Liang Wang and Jiejie Zhu and Ruigang Yang and Juergen Gall",

year = "2013",

doi = "10.1007/978-3-642-44964-2_8",

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

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booktitle = "Time-of-Flight and Depth Imaging",

note = "Dagstuhl 2012 Seminar on Time-of-Flight Imaging: Sensors, Algorithms, and Applications and Workshop on Imaging New Modalities, Held at the German Conference on Pattern Recognition, GCPR2013 ; Conference date: 21-10-2012 Through 26-10-2012",

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Ye, M, Zhang, Q, Wang, L, Zhu, J, Yang, R & Gall, J 2013, A survey on human motion analysis from depth data. in Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8200 LNCS, pp. 149-187, Dagstuhl 2012 Seminar on Time-of-Flight Imaging: Sensors, Algorithms, and Applications and Workshop on Imaging New Modalities, Held at the German Conference on Pattern Recognition, GCPR2013, Saarbrucken, Germany, 10/21/12. https://doi.org/10.1007/978-3-642-44964-2_8

A survey on human motion analysis from depth data. / Ye, Mao; Zhang, Qing; Wang, Liang et al.
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities. 2013. p. 149-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8200 LNCS).

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

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Ye M, Zhang Q, Wang L, Zhu J, Yang R, Gall J. A survey on human motion analysis from depth data. In Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities. 2013. p. 149-187. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-44964-2_8

A survey on human motion analysis from depth data

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