Real time hand gesture recognition including hand segmentation and tracking

Thomas Coogan, George Awad, Junwei Han, Alistair Sutherland

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

24 Scopus citations

Abstract

In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, motion and position, (ii) A static and dynamic gesture recognition system. Static gesture recognition is achieved using a robust hand shape classification, based on PCA subspaces, that is invariant to scale along with small translation and rotation transformations, Combining hand shape classification with position information and using DHMMs allows us to accomplish dynamic gesture recognition.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings
PublisherSpringer Verlag
Pages495-504
Number of pages10
ISBN (Print)3540486283, 9783540486282
DOIs
StatePublished - 2006
Externally publishedYes
Event2nd International Symposium on Visual Computing, ISVC 2006 - Lake Tahoe, NV, United States
Duration: 6 Nov 20068 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4291 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Visual Computing, ISVC 2006
Country/TerritoryUnited States
CityLake Tahoe, NV
Period6/11/068/11/06

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