Hand Motion and Posture Recognition in a Network of Calibrated Cameras
This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter. With the tracking results of two calibrated cameras...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2017/2162078 |
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| _version_ | 1832561218806611968 |
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| author | Jingya Wang Shahram Payandeh |
| author_facet | Jingya Wang Shahram Payandeh |
| author_sort | Jingya Wang |
| collection | DOAJ |
| description | This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter. With the tracking results of two calibrated cameras, the 3D hand motion trajectory can be reconstructed. It is then modeled by dynamic movement primitives and a support vector machine is trained for trajectory recognition. Scale-invariant feature transform is employed to extract features on segmented hand postures, and a novel strategy for hand posture recognition is proposed. A gesture vector is introduced to recognize hand gesture as an entirety which combines the recognition results of motion trajectory and hand postures where a support vector machine is trained for gesture recognition based on gesture vectors. |
| format | Article |
| id | doaj-art-5d1432a41c6443cdb4ab91a4d94fdd7c |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-5d1432a41c6443cdb4ab91a4d94fdd7c2025-02-03T01:25:33ZengWileyAdvances in Multimedia1687-56801687-56992017-01-01201710.1155/2017/21620782162078Hand Motion and Posture Recognition in a Network of Calibrated CamerasJingya Wang0Shahram Payandeh1Network Robotics and Sensing Laboratory, School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6, CanadaNetwork Robotics and Sensing Laboratory, School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6, CanadaThis paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter. With the tracking results of two calibrated cameras, the 3D hand motion trajectory can be reconstructed. It is then modeled by dynamic movement primitives and a support vector machine is trained for trajectory recognition. Scale-invariant feature transform is employed to extract features on segmented hand postures, and a novel strategy for hand posture recognition is proposed. A gesture vector is introduced to recognize hand gesture as an entirety which combines the recognition results of motion trajectory and hand postures where a support vector machine is trained for gesture recognition based on gesture vectors.http://dx.doi.org/10.1155/2017/2162078 |
| spellingShingle | Jingya Wang Shahram Payandeh Hand Motion and Posture Recognition in a Network of Calibrated Cameras Advances in Multimedia |
| title | Hand Motion and Posture Recognition in a Network of Calibrated Cameras |
| title_full | Hand Motion and Posture Recognition in a Network of Calibrated Cameras |
| title_fullStr | Hand Motion and Posture Recognition in a Network of Calibrated Cameras |
| title_full_unstemmed | Hand Motion and Posture Recognition in a Network of Calibrated Cameras |
| title_short | Hand Motion and Posture Recognition in a Network of Calibrated Cameras |
| title_sort | hand motion and posture recognition in a network of calibrated cameras |
| url | http://dx.doi.org/10.1155/2017/2162078 |
| work_keys_str_mv | AT jingyawang handmotionandposturerecognitioninanetworkofcalibratedcameras AT shahrampayandeh handmotionandposturerecognitioninanetworkofcalibratedcameras |