3D Hand Gesture Recognition using the Hough Transform
This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2013-08-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2013.03012 |
| _version_ | 1818024157416259584 |
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| author | OPRISESCU, S. BARTH, E. |
| author_facet | OPRISESCU, S. BARTH, E. |
| author_sort | OPRISESCU, S. |
| collection | DOAJ |
| description | This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The Hough transform is originally applied, for the first time, on the projected gesture trajectories to obtain a reliable decision. The experimental data obtained from 300 video sequences with different subjects validate the proposed recognition method. |
| first_indexed | 2024-12-10T03:55:45Z |
| format | Article |
| id | doaj.art-99889d3fdc314b6d9d0e9901816273d8 |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-10T03:55:45Z |
| publishDate | 2013-08-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-99889d3fdc314b6d9d0e9901816273d82022-12-22T02:03:07ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002013-08-01133717610.4316/AECE.2013.030123D Hand Gesture Recognition using the Hough TransformOPRISESCU, S.BARTH, E.This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The Hough transform is originally applied, for the first time, on the projected gesture trajectories to obtain a reliable decision. The experimental data obtained from 300 video sequences with different subjects validate the proposed recognition method.http://dx.doi.org/10.4316/AECE.2013.03012image processingcomputer visiongesture recognitionKinect cameraHough transform |
| spellingShingle | OPRISESCU, S. BARTH, E. 3D Hand Gesture Recognition using the Hough Transform Advances in Electrical and Computer Engineering image processing computer vision gesture recognition Kinect camera Hough transform |
| title | 3D Hand Gesture Recognition using the Hough Transform |
| title_full | 3D Hand Gesture Recognition using the Hough Transform |
| title_fullStr | 3D Hand Gesture Recognition using the Hough Transform |
| title_full_unstemmed | 3D Hand Gesture Recognition using the Hough Transform |
| title_short | 3D Hand Gesture Recognition using the Hough Transform |
| title_sort | 3d hand gesture recognition using the hough transform |
| topic | image processing computer vision gesture recognition Kinect camera Hough transform |
| url | http://dx.doi.org/10.4316/AECE.2013.03012 |
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