Multi-layered hand and face tracking for real-time gesture recognition

Farhad Dadgostar; Abdolhossein Sarrafzadeh; Chris Messom

doi:10.1007/978-3-642-02490-0_72

Multi-layered hand and face tracking for real-time gesture recognition

Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chris Messom

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

6 Citations (Scopus)

Abstract

This paper presents research leading to the development of a vision-based gesture recognition system. The system comprises of three abstract layers each with their own specific type and requirements of data. The first layer is the skin detection layer. This component provides a set of disperse skin pixels for a tracker that forms the second layer. The second component is based on the Mean-shift algorithm which has been improved for robustness against noise using our novel fuzzy-based edge estimation method making the tracker suitable for real world applications. The third component is the gesture recognition layer which is based on a gesture modeling technique and artificial neural-networks for classification of the gesture.

Original language	English
Title of host publication	Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages	587-594
Number of pages	8
Volume	5506 LNCS
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-02490-0_72
Publication status	Published - 2009
Externally published	Yes
Event	International Conference on Neural Information Processing 2008 - Auckland, New Zealand Duration: 25 Nov 2008 → 28 Nov 2008 Conference number: 15th https://link.springer.com/book/10.1007/978-3-642-02490-0 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5506 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	International Conference on Neural Information Processing 2008
Abbreviated title	ICONIP 2008
Country/Territory	New Zealand
City	Auckland
Period	25/11/08 → 28/11/08
Internet address	https://link.springer.com/book/10.1007/978-3-642-02490-0 (Proceedings)

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10.1007/978-3-642-02490-0_72

Cite this

Dadgostar, F., Sarrafzadeh, A., & Messom, C. (2009). Multi-layered hand and face tracking for real-time gesture recognition. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers (PART 1 ed., Vol. 5506 LNCS, pp. 587-594). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-02490-0_72

Dadgostar, Farhad ; Sarrafzadeh, Abdolhossein ; Messom, Chris. / Multi-layered hand and face tracking for real-time gesture recognition. Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. Vol. 5506 LNCS PART 1. ed. 2009. pp. 587-594 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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Dadgostar, F, Sarrafzadeh, A & Messom, C 2009, Multi-layered hand and face tracking for real-time gesture recognition. in Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 edn, vol. 5506 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5506 LNCS, pp. 587-594, International Conference on Neural Information Processing 2008, Auckland, New Zealand, 25/11/08. https://doi.org/10.1007/978-3-642-02490-0_72

Multi-layered hand and face tracking for real-time gesture recognition. / Dadgostar, Farhad; Sarrafzadeh, Abdolhossein; Messom, Chris.
Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. Vol. 5506 LNCS PART 1. ed. 2009. p. 587-594 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1).

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

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AB - This paper presents research leading to the development of a vision-based gesture recognition system. The system comprises of three abstract layers each with their own specific type and requirements of data. The first layer is the skin detection layer. This component provides a set of disperse skin pixels for a tracker that forms the second layer. The second component is based on the Mean-shift algorithm which has been improved for robustness against noise using our novel fuzzy-based edge estimation method making the tracker suitable for real world applications. The third component is the gesture recognition layer which is based on a gesture modeling technique and artificial neural-networks for classification of the gesture.

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Dadgostar F, Sarrafzadeh A, Messom C. Multi-layered hand and face tracking for real-time gesture recognition. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 ed. Vol. 5506 LNCS. 2009. p. 587-594. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-02490-0_72

Multi-layered hand and face tracking for real-time gesture recognition

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