Stereo vision human motion detection and tracking in uncontrolled environment
Stereo vision in detecting human motion is an emerging research for automation, robotics, and sports science field due to the advancement of imaging sensors and information technology. The difficulty of human motion detection and tracking is relatively complex when it is applied to uncontrolled envi...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/70018 |
| _version_ | 1848762193624956928 |
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| author | Chan, B. Lim, Hann Gopal, L. Gopalai, A. Gouwanda, D. |
| author_facet | Chan, B. Lim, Hann Gopal, L. Gopalai, A. Gouwanda, D. |
| author_sort | Chan, B. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Stereo vision in detecting human motion is an emerging research for automation, robotics, and sports science field due to the advancement of imaging sensors and information technology. The difficulty of human motion detection and tracking is relatively complex when it is applied to uncontrolled environment. In this paper, a hybrid filter approach is proposed to detect human motion in the stereo vision. The hybrid filter approach integrates Gaussian filter and median filter to reduce the coverage of shadow and sudden change of illumination. In addition, sequential thinning and thickening morphological method is used to construct the skeleton model. The proposed hybrid approach is compared with the normalized filter. As a result, the proposed approach produces better skeleton model with less influential effect on shadow and illumination. The output results of the proposed approach can show up to 86% of average accuracy matched with skeleton model. In addition, obtains approximately 94% of sensitivity measurement in the stereo vision. The proposed approach using hybrid filter and sequential morphology could improve the performance of the detection in the uncontrolled environment. |
| first_indexed | 2025-11-14T10:43:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-70018 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:43:41Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-700182019-01-21T03:48:45Z Stereo vision human motion detection and tracking in uncontrolled environment Chan, B. Lim, Hann Gopal, L. Gopalai, A. Gouwanda, D. Stereo vision in detecting human motion is an emerging research for automation, robotics, and sports science field due to the advancement of imaging sensors and information technology. The difficulty of human motion detection and tracking is relatively complex when it is applied to uncontrolled environment. In this paper, a hybrid filter approach is proposed to detect human motion in the stereo vision. The hybrid filter approach integrates Gaussian filter and median filter to reduce the coverage of shadow and sudden change of illumination. In addition, sequential thinning and thickening morphological method is used to construct the skeleton model. The proposed hybrid approach is compared with the normalized filter. As a result, the proposed approach produces better skeleton model with less influential effect on shadow and illumination. The output results of the proposed approach can show up to 86% of average accuracy matched with skeleton model. In addition, obtains approximately 94% of sensitivity measurement in the stereo vision. The proposed approach using hybrid filter and sequential morphology could improve the performance of the detection in the uncontrolled environment. 2018 Journal Article http://hdl.handle.net/20.500.11937/70018 10.12928/TELKOMNIKA.v16i3.9033 http://creativecommons.org/licenses/by-nc/4.0/ fulltext |
| spellingShingle | Chan, B. Lim, Hann Gopal, L. Gopalai, A. Gouwanda, D. Stereo vision human motion detection and tracking in uncontrolled environment |
| title | Stereo vision human motion detection and tracking in uncontrolled environment |
| title_full | Stereo vision human motion detection and tracking in uncontrolled environment |
| title_fullStr | Stereo vision human motion detection and tracking in uncontrolled environment |
| title_full_unstemmed | Stereo vision human motion detection and tracking in uncontrolled environment |
| title_short | Stereo vision human motion detection and tracking in uncontrolled environment |
| title_sort | stereo vision human motion detection and tracking in uncontrolled environment |
| url | http://hdl.handle.net/20.500.11937/70018 |