Crane gesture recognition using pseudo 3-D hidden Markov models

Stefan Müller; Stefan Eickeler; Gerhard Rigoll

doi:10.1109/AFGR.2000.840665

Crane gesture recognition using pseudo 3-D hidden Markov models

Stefan Müller, Stefan Eickeler, Gerhard Rigoll

University of Duisburg-Essen

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

8 Scopus citations

Abstract

A recognition technique based on novel pseudo 3D hidden Markov models, which can integrate spatial as well as temporal derived features is presented. The approach allows the recognition of dynamic gestures such as waving hands as well as static gestures such as standing in a special pose. Pseudo 3D hidden Markov models (P3DHMM) are an extension of the pseudo 2D case, which has been successfully used for the classification of images and the recognition of faces. In the P3DHMM case the so-called superstates contain P2DHMM and thus whole image sequences can be generated by these models. Our approach has been evaluated on a crane signal database, which consists of 12 different predefined gestures for maneuvering cranes.

Original language	English
Title of host publication	Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
Publisher	IEEE Computer Society
Pages	398-402
Number of pages	5
ISBN (Print)	0769505805, 9780769505800
DOIs	https://doi.org/10.1109/AFGR.2000.840665
State	Published - 2000
Externally published	Yes
Event	4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 - Grenoble, France Duration: 28 Mar 2000 → 30 Mar 2000

Publication series

Name	Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

Conference

Conference	4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
Country/Territory	France
City	Grenoble
Period	28/03/00 → 30/03/00

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10.1109/AFGR.2000.840665

Cite this

Müller, S., Eickeler, S., & Rigoll, G. (2000). Crane gesture recognition using pseudo 3-D hidden Markov models. In Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 (pp. 398-402). Article 840665 (Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000). IEEE Computer Society. https://doi.org/10.1109/AFGR.2000.840665

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title = "Crane gesture recognition using pseudo 3-D hidden Markov models",

abstract = "A recognition technique based on novel pseudo 3D hidden Markov models, which can integrate spatial as well as temporal derived features is presented. The approach allows the recognition of dynamic gestures such as waving hands as well as static gestures such as standing in a special pose. Pseudo 3D hidden Markov models (P3DHMM) are an extension of the pseudo 2D case, which has been successfully used for the classification of images and the recognition of faces. In the P3DHMM case the so-called superstates contain P2DHMM and thus whole image sequences can be generated by these models. Our approach has been evaluated on a crane signal database, which consists of 12 different predefined gestures for maneuvering cranes.",

author = "Stefan M{\"u}ller and Stefan Eickeler and Gerhard Rigoll",

year = "2000",

doi = "10.1109/AFGR.2000.840665",

language = "English",

isbn = "0769505805",

series = "Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000",

publisher = "IEEE Computer Society",

pages = "398--402",

booktitle = "Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000",

note = "4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 ; Conference date: 28-03-2000 Through 30-03-2000",

}

Müller, S, Eickeler, S & Rigoll, G 2000, Crane gesture recognition using pseudo 3-D hidden Markov models. in Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000., 840665, Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000, IEEE Computer Society, pp. 398-402, 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000, Grenoble, France, 28/03/00. https://doi.org/10.1109/AFGR.2000.840665

Crane gesture recognition using pseudo 3-D hidden Markov models. / Müller, Stefan; Eickeler, Stefan; Rigoll, Gerhard.
Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000. IEEE Computer Society, 2000. p. 398-402 840665 (Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000).

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

TY - GEN

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AU - Eickeler, Stefan

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N2 - A recognition technique based on novel pseudo 3D hidden Markov models, which can integrate spatial as well as temporal derived features is presented. The approach allows the recognition of dynamic gestures such as waving hands as well as static gestures such as standing in a special pose. Pseudo 3D hidden Markov models (P3DHMM) are an extension of the pseudo 2D case, which has been successfully used for the classification of images and the recognition of faces. In the P3DHMM case the so-called superstates contain P2DHMM and thus whole image sequences can be generated by these models. Our approach has been evaluated on a crane signal database, which consists of 12 different predefined gestures for maneuvering cranes.

AB - A recognition technique based on novel pseudo 3D hidden Markov models, which can integrate spatial as well as temporal derived features is presented. The approach allows the recognition of dynamic gestures such as waving hands as well as static gestures such as standing in a special pose. Pseudo 3D hidden Markov models (P3DHMM) are an extension of the pseudo 2D case, which has been successfully used for the classification of images and the recognition of faces. In the P3DHMM case the so-called superstates contain P2DHMM and thus whole image sequences can be generated by these models. Our approach has been evaluated on a crane signal database, which consists of 12 different predefined gestures for maneuvering cranes.

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DO - 10.1109/AFGR.2000.840665

M3 - Conference contribution

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SN - 9780769505800

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BT - Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

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Müller S, Eickeler S, Rigoll G. Crane gesture recognition using pseudo 3-D hidden Markov models. In Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000. IEEE Computer Society. 2000. p. 398-402. 840665. (Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000). doi: 10.1109/AFGR.2000.840665

Crane gesture recognition using pseudo 3-D hidden Markov models

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