Removal of Unwanted Hand Gestures using Motion Analysis

Khurram Khurshid, Nicole Vincent

2007

Abstract

This work presents an effective method for hand gesture recognition under non-static background conditions and removal of certain unwanted gestures from the video. For this purpose, we have developed a new approach which mainly focuses on the motion analysis of hand. For the detection and tracking of hand, we have made some small innovations in the existing methods, while for recognition, the local and the global motion of the detected hand region is analyzed by using optical flow. The system is initially trained for a gesture and the motion pattern of the hand for that gesture is identified. This pattern is associated with this gesture and is searched for in the test videos. The system thoroughly trained and tested on 20 videos, filmed on 4 different people, reported a success rate of 90%.

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Paper Citation


in Harvard Style

Khurshid K. and Vincent N. (2007). Removal of Unwanted Hand Gestures using Motion Analysis . In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007) ISBN 978-972-8865-93-1, pages 231-237. DOI: 10.5220/0002435402310237


in Bibtex Style

@conference{pris07,
author={Khurram Khurshid and Nicole Vincent},
title={Removal of Unwanted Hand Gestures using Motion Analysis},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},
year={2007},
pages={231-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002435402310237},
isbn={978-972-8865-93-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)
TI - Removal of Unwanted Hand Gestures using Motion Analysis
SN - 978-972-8865-93-1
AU - Khurshid K.
AU - Vincent N.
PY - 2007
SP - 231
EP - 237
DO - 10.5220/0002435402310237