HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA
The paper presents an approach to recover a full-body 3D human pose using geodesic and color features captured by a depth camera. The 3D information obtained from the depth images is employed to represent the points belonging to a human body in the form of a graph. The interest points or landmark lo...
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| Format: | Article |
| Language: | English |
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Dalat University
2017-06-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
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| Online Access: | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/238 |
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| author | Đinh Đồng Lưỡng |
| author_facet | Đinh Đồng Lưỡng |
| author_sort | Đinh Đồng Lưỡng |
| collection | DOAJ |
| description | The paper presents an approach to recover a full-body 3D human pose using geodesic and color features captured by a depth camera. The 3D information obtained from the depth images is employed to represent the points belonging to a human body in the form of a graph. The interest points or landmark locations with definite geodesic distances from the human body centroid are extracted to locate areas of the hand, foot, and face based on color images using a skin detection algorithm. Utilizing the anatomical landmark locations, joint angles of the body parts are computed. The estimated joint angles are then mapped to the body parts of a 3D human body model, which consists of a set of connected parts. Finally, the 3D human model reflects the human pose estimate. In our experiments, we assessed the detection of anatomical landmarks by our algorithm and then the 3D pose recovery for simple hand gestures, complex hand gestures, simple full body movements and complex body movements. The qualitative results of pose approximations depict the fact that the presented methodology is efficient enough to get good estimates of various full body movements. |
| format | Article |
| id | doaj-art-c52ec4e141d247cbab64c94e00c23f68 |
| institution | Kabale University |
| issn | 0866-787X 0866-787X |
| language | English |
| publishDate | 2017-06-01 |
| publisher | Dalat University |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Đà Lạt |
| spelling | doaj-art-c52ec4e141d247cbab64c94e00c23f682025-02-02T19:08:36ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2017-06-017219220410.37569/DalatUniversity.7.2.238(2017)133HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERAĐinh Đồng Lưỡng0Khoa Công nghệ Thông tin, Trường Đại học Nha TrangThe paper presents an approach to recover a full-body 3D human pose using geodesic and color features captured by a depth camera. The 3D information obtained from the depth images is employed to represent the points belonging to a human body in the form of a graph. The interest points or landmark locations with definite geodesic distances from the human body centroid are extracted to locate areas of the hand, foot, and face based on color images using a skin detection algorithm. Utilizing the anatomical landmark locations, joint angles of the body parts are computed. The estimated joint angles are then mapped to the body parts of a 3D human body model, which consists of a set of connected parts. Finally, the 3D human model reflects the human pose estimate. In our experiments, we assessed the detection of anatomical landmarks by our algorithm and then the 3D pose recovery for simple hand gestures, complex hand gestures, simple full body movements and complex body movements. The qualitative results of pose approximations depict the fact that the presented methodology is efficient enough to get good estimates of various full body movements.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/2383d human body model3d human pose recoverydepth imagegeodesic distance. |
| spellingShingle | Đinh Đồng Lưỡng HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA Tạp chí Khoa học Đại học Đà Lạt 3d human body model 3d human pose recovery depth image geodesic distance. |
| title | HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA |
| title_full | HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA |
| title_fullStr | HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA |
| title_full_unstemmed | HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA |
| title_short | HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA |
| title_sort | human pose recognition using geodesic distance and color features with depth camera |
| topic | 3d human body model 3d human pose recovery depth image geodesic distance. |
| url | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/238 |
| work_keys_str_mv | AT đinhđongluong humanposerecognitionusinggeodesicdistanceandcolorfeatureswithdepthcamera |