Real-time hand tracking using the Viola and Jones method

Andre L.C. Barczak*, Farhad Dadgostar, Martin J. Johnson

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

In this paper a method to generate examples for training a classifier based on the Viola and Jones algorithm is introduced. By using this method, positive examples are generated to train classifiers able to distinguish a certain angle of rotation that is normal to the image plane. The examples were used to train and assess classifiers that are able to track and recognise hands posed in a single gesture. Experiments compared the performance of classifiers trained at different angles. The results show that the Viola and Jones algorithm has the potential to be used for more sophisticated gesture and hand recognition, but it also points out to the difficulties of using the method generically for rotated/articulated objects.

Original languageEnglish
Title of host publicationProceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005
EditorsM.W. Marcellin
PublisherACTA Press
Pages336-341
Number of pages6
ISBN (Print)0889865183
Publication statusPublished - 2005
Externally publishedYes
EventSeventh IASTED International Conference on Signal and Image Processing, SIP 2005 - Honolulu, HI, United States
Duration: 15 Aug 200517 Aug 2005

Publication series

NameProceedings of the Seventh IASTED International Conference on Signal and Image Processing, SIP 2005

Conference

ConferenceSeventh IASTED International Conference on Signal and Image Processing, SIP 2005
Country/TerritoryUnited States
CityHonolulu, HI
Period15/08/0517/08/05

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