Bare-hand alphabets gesture recognition based on VCM and ROI segmentation
A bare-hand gesture location and tracking system with single camera in real-time was introduced.By employing improved difference method,restrictions of hand are used to location region of Interesting（ROI）.Then on the basis of relatively satisfied segment result the thesis analyzed and extracted the...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74658185/ |
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| _version_ | 1841537493756805120 |
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| author | ZHOU Hang RUAN Qiu-qi |
| author_facet | ZHOU Hang RUAN Qiu-qi |
| author_sort | ZHOU Hang |
| collection | DOAJ |
| description | A bare-hand gesture location and tracking system with single camera in real-time was introduced.By employing improved difference method,restrictions of hand are used to location region of Interesting（ROI）.Then on the basis of relatively satisfied segment result the thesis analyzed and extracted the hand features combined with the improved vector coherence mapping（VCM） whose constraint was enhanced to overcome the illegibility for robust results.Furthermore,a time-correlation forecasting model proved the demand of real-time and the consistency of the results now and before.The experiment results show the system has a high recognition rate up to 99% in different illuminations and backgrounds and has more efficient performance compared with existing other systems. |
| format | Article |
| id | doaj-art-d10f56954a4741e7b08821faad3dad7d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2007-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d10f56954a4741e7b08821faad3dad7d2025-01-14T08:35:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-019410174658185Bare-hand alphabets gesture recognition based on VCM and ROI segmentationZHOU HangRUAN Qiu-qiA bare-hand gesture location and tracking system with single camera in real-time was introduced.By employing improved difference method,restrictions of hand are used to location region of Interesting（ROI）.Then on the basis of relatively satisfied segment result the thesis analyzed and extracted the hand features combined with the improved vector coherence mapping（VCM） whose constraint was enhanced to overcome the illegibility for robust results.Furthermore,a time-correlation forecasting model proved the demand of real-time and the consistency of the results now and before.The experiment results show the system has a high recognition rate up to 99% in different illuminations and backgrounds and has more efficient performance compared with existing other systems.http://www.joconline.com.cn/zh/article/74658185/gesture recognitionvector coherence mappingregion of interestinghuman computer interface |
| spellingShingle | ZHOU Hang RUAN Qiu-qi Bare-hand alphabets gesture recognition based on VCM and ROI segmentation Tongxin xuebao gesture recognition vector coherence mapping region of interesting human computer interface |
| title | Bare-hand alphabets gesture recognition based on VCM and ROI segmentation |
| title_full | Bare-hand alphabets gesture recognition based on VCM and ROI segmentation |
| title_fullStr | Bare-hand alphabets gesture recognition based on VCM and ROI segmentation |
| title_full_unstemmed | Bare-hand alphabets gesture recognition based on VCM and ROI segmentation |
| title_short | Bare-hand alphabets gesture recognition based on VCM and ROI segmentation |
| title_sort | bare hand alphabets gesture recognition based on vcm and roi segmentation |
| topic | gesture recognition vector coherence mapping region of interesting human computer interface |
| url | http://www.joconline.com.cn/zh/article/74658185/ |
| work_keys_str_mv | AT zhouhang barehandalphabetsgesturerecognitionbasedonvcmandroisegmentation AT ruanqiuqi barehandalphabetsgesturerecognitionbasedonvcmandroisegmentation |