Hand and fingertips detection based on free-form color model
The essential aim of this research is to develop an effective system for hand segmentation, fingertips detection and tracking based on fingertips motion. In this thesis there are three contributions. First, the focus is on the hand skin colour model for accurate hand segmentation which is a challeng...
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2012
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my-mmu-ep.58062014-10-29T09:27:30Z Hand and fingertips detection based on free-form color model 2012-09 Dawod, Ahmad Yahya TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics The essential aim of this research is to develop an effective system for hand segmentation, fingertips detection and tracking based on fingertips motion. In this thesis there are three contributions. First, the focus is on the hand skin colour model for accurate hand segmentation which is a challenging task in computer vision applications. Second is to recognize fingertips from an image through detected hand from the proposed free-form skin color model.Third is to modify the randomized circle detection algorithm to track the fingertip position between frames. This study makes a comparative study of the three proposed methods for different ethnicity which include African, European, Indian and Mongolian people. Very promising results have been achieved. 2012-09 Thesis http://shdl.mmu.edu.my/5806/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Computing and Informatics |
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Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics |
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TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics Dawod, Ahmad Yahya Hand and fingertips detection based on free-form color model |
| description |
The essential aim of this research is to develop an effective system for hand segmentation, fingertips detection and tracking based on fingertips motion. In this thesis there are three contributions. First, the focus is on the hand skin colour model for accurate hand segmentation which is a challenging task in computer vision applications. Second is to recognize fingertips from an image through detected hand from the proposed free-form skin color model.Third is to modify the randomized circle detection algorithm to track the fingertip position between frames. This study makes a comparative study of the three proposed methods for different ethnicity which include African, European, Indian and Mongolian people. Very promising results have been achieved. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Dawod, Ahmad Yahya |
| author_facet |
Dawod, Ahmad Yahya |
| author_sort |
Dawod, Ahmad Yahya |
| title |
Hand and fingertips detection based on free-form color model |
| title_short |
Hand and fingertips detection based on free-form color model |
| title_full |
Hand and fingertips detection based on free-form color model |
| title_fullStr |
Hand and fingertips detection based on free-form color model |
| title_full_unstemmed |
Hand and fingertips detection based on free-form color model |
| title_sort |
hand and fingertips detection based on free-form color model |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Computing and Informatics |
| publishDate |
2012 |
| _version_ |
1747829593814859776 |