Yao, Yi and Li, Chang-Tsun (2013) Real-time hand gesture recognition for uncontrolled environments using adaptive SURF tracking and hidden conditional random fields. In: Bebis, George, (ed.) Advances in Visual Computing : 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II. Lecture Notes in Computer Science (Number 8034). Berlin: Springer, pp. 542-551. ISBN 9783642419386

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Abstract

Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in uncontrolled environments. A novel tracking method is introduced to track multiple hand candidates from the first frame. The movement directions of all hand candidates are extracted as trajectory features. A modified HCRF model is used to classify gestures. The proposed method can survive challenges including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured regions moving in background, performers wearing short sleeve and face overlapping with hand. The method has been tested on Palm Graffiti Digits database and Warwick Hand Gesture database. Experimental results show that the proposed method can perform well in uncontrolled environments.

Item Type:	Book Item
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Computer vision, Random fields
Series Name:	Lecture Notes in Computer Science
Publisher:	Springer
Place of Publication:	Berlin
ISBN:	9783642419386
Book Title:	Advances in Visual Computing : 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II
Editor:	Bebis, George
Official Date:	2013
Dates:	Date Event 2013 Published
Date of first compliant deposit:	28 July 2016
Number:	Number 8034
Page Range:	pp. 542-551
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	9th International Symposium on Visual Computing (ISVC 2013)
Type of Event:	Conference

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