Cover Image

Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background

Recent development in the field of human–computer interaction has led renewed interest in dynamic hand gesture segmentation based on gesture recognition system. Despite its long clinical success, dynamic hand gesture segmentation using webcam vision becomes technically challenging and suffers the pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Khalid, Eman Thabet, Khalid, Fatimah, Sulaiman, Puteri Suhaiza, Yaakob, Razali
Format: Article
Language:English
Published: Springer 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72737/1/Fast%20marching%20method%20and%20modified%20features%20fusion%20.pdf
http://psasir.upm.edu.my/id/eprint/72737/
https://link.springer.com/article/10.1007/s12652-017-0512-6
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.72737
record_format eprints
spelling my.upm.eprints.727372021-01-30T01:54:52Z http://psasir.upm.edu.my/id/eprint/72737/ Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background Khalid, Eman Thabet Khalid, Fatimah Sulaiman, Puteri Suhaiza Yaakob, Razali Recent development in the field of human–computer interaction has led renewed interest in dynamic hand gesture segmentation based on gesture recognition system. Despite its long clinical success, dynamic hand gesture segmentation using webcam vision becomes technically challenging and suffers the problem of non-accurate and poor hand gesture segmentation where the hand region is not integral due to complicated environment, partial occlusion and light effects. Therefore, for segmenting complete hand gesture region and improving the segmentation accuracy, this study proposes a combination of four modified visual features segmentation procedures, which are skin, motion, skin moving as well as contour features and fast marching method. Quantitative measurement was performed for evaluating hand gesture segmentation algorithm. Besides, qualitative measurement was done to conduct a comparison based on segmentation accuracy with previous studies. Consequently, the experiment results showed a great enhancement in hand area segmentation with a high accuracy rate of 98%. Springer 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72737/1/Fast%20marching%20method%20and%20modified%20features%20fusion%20.pdf Khalid, Eman Thabet and Khalid, Fatimah and Sulaiman, Puteri Suhaiza and Yaakob, Razali (2018) Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background. Journal of Ambient Intelligence and Humanized Computing, 9 (3). 755 - 769. ISSN 1868-5137; ESSN: 1868-5145 https://link.springer.com/article/10.1007/s12652-017-0512-6 10.1007/s12652-017-0512-6
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Recent development in the field of human–computer interaction has led renewed interest in dynamic hand gesture segmentation based on gesture recognition system. Despite its long clinical success, dynamic hand gesture segmentation using webcam vision becomes technically challenging and suffers the problem of non-accurate and poor hand gesture segmentation where the hand region is not integral due to complicated environment, partial occlusion and light effects. Therefore, for segmenting complete hand gesture region and improving the segmentation accuracy, this study proposes a combination of four modified visual features segmentation procedures, which are skin, motion, skin moving as well as contour features and fast marching method. Quantitative measurement was performed for evaluating hand gesture segmentation algorithm. Besides, qualitative measurement was done to conduct a comparison based on segmentation accuracy with previous studies. Consequently, the experiment results showed a great enhancement in hand area segmentation with a high accuracy rate of 98%.
format Article
author Khalid, Eman Thabet
Khalid, Fatimah
Sulaiman, Puteri Suhaiza
Yaakob, Razali
spellingShingle Khalid, Eman Thabet
Khalid, Fatimah
Sulaiman, Puteri Suhaiza
Yaakob, Razali
Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
author_facet Khalid, Eman Thabet
Khalid, Fatimah
Sulaiman, Puteri Suhaiza
Yaakob, Razali
author_sort Khalid, Eman Thabet
title Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
title_short Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
title_full Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
title_fullStr Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
title_full_unstemmed Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
title_sort fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
publisher Springer
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/72737/1/Fast%20marching%20method%20and%20modified%20features%20fusion%20.pdf
http://psasir.upm.edu.my/id/eprint/72737/
https://link.springer.com/article/10.1007/s12652-017-0512-6
_version_ 1690372575763365888
score 13.211869

Similar Items