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

Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chris Messom

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


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 languageEnglish
Title of host publicationAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Number of pages8
Volume5506 LNCS
EditionPART 1
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Neural Information Processing 2008 - Auckland, New Zealand
Duration: 25 Nov 200828 Nov 2008
Conference number: 15th (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5506 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


ConferenceInternational Conference on Neural Information Processing 2008
Abbreviated titleICONIP 2008
Country/TerritoryNew Zealand
Internet address

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