Visualization on colour based flow vector of thermal image for movement detection during interactive session
Recently thermal imaging is exploited in applications such as motion and face detection. It has drawn attention many researchers to build such technology to improve lifestyle. This work proposed a technique to detect and identify a motion in sequence images for the application in security monitoring...
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| Format: | Article |
| Language: | en |
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IOP Publishing
2018
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| Online Access: | http://eprints.uthm.edu.my/2907/1/AJ%202019%20%2870%29.pdf http://eprints.uthm.edu.my/2907/ https://iopscience.iop.org/article/10.1088/1742-6596/1049/1/012066 |
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| _version_ | 1833417197724106752 |
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| author | Ibrahim, Nabilah Raman, Mohamad Nurazmi Mahadi, Lina Farhana Wan Zakaria, Wan Nurshazwani |
| author_facet | Ibrahim, Nabilah Raman, Mohamad Nurazmi Mahadi, Lina Farhana Wan Zakaria, Wan Nurshazwani |
| author_sort | Ibrahim, Nabilah |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Recently thermal imaging is exploited in applications such as motion and face detection. It has drawn attention many researchers to build such technology to improve lifestyle. This work proposed a technique to detect and identify a motion in sequence images for the application in security monitoring system or outdoor surveillance. Conventional system might cause false information with the present of shadow. Thus, methods employed in this work are Canny edge detector method, Lucas Kanade and Horn Shunck algorithms, to overcome the major problem when using thresholding method, which is only intensity or pixel magnitude is considered instead of relationships between the pixels. The results obtained could be observed in flow vector parameter and the segmentation colour based image for the time frame from 1 to 10 seconds. The visualization of both the parameters clarified the movement and changes of pixel intensity between two frames by the supportive colour segmentation, either in smooth or rough motion. Thus, this technique may contribute to others application such as biometrics, military system, and surveillance machine. |
| format | Article |
| id | my.uthm.eprints-2907 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2018 |
| publisher | IOP Publishing |
| record_format | eprints |
| spelling | my.uthm.eprints-29072021-11-16T04:15:09Z http://eprints.uthm.edu.my/2907/ Visualization on colour based flow vector of thermal image for movement detection during interactive session Ibrahim, Nabilah Raman, Mohamad Nurazmi Mahadi, Lina Farhana Wan Zakaria, Wan Nurshazwani TA1501-1820 Applied optics. Photonics Recently thermal imaging is exploited in applications such as motion and face detection. It has drawn attention many researchers to build such technology to improve lifestyle. This work proposed a technique to detect and identify a motion in sequence images for the application in security monitoring system or outdoor surveillance. Conventional system might cause false information with the present of shadow. Thus, methods employed in this work are Canny edge detector method, Lucas Kanade and Horn Shunck algorithms, to overcome the major problem when using thresholding method, which is only intensity or pixel magnitude is considered instead of relationships between the pixels. The results obtained could be observed in flow vector parameter and the segmentation colour based image for the time frame from 1 to 10 seconds. The visualization of both the parameters clarified the movement and changes of pixel intensity between two frames by the supportive colour segmentation, either in smooth or rough motion. Thus, this technique may contribute to others application such as biometrics, military system, and surveillance machine. IOP Publishing 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/2907/1/AJ%202019%20%2870%29.pdf Ibrahim, Nabilah and Raman, Mohamad Nurazmi and Mahadi, Lina Farhana and Wan Zakaria, Wan Nurshazwani (2018) Visualization on colour based flow vector of thermal image for movement detection during interactive session. Journal of Physics: Conference Series, 1049. pp. 1-8. ISSN 1742-6588 https://iopscience.iop.org/article/10.1088/1742-6596/1049/1/012066 |
| spellingShingle | TA1501-1820 Applied optics. Photonics Ibrahim, Nabilah Raman, Mohamad Nurazmi Mahadi, Lina Farhana Wan Zakaria, Wan Nurshazwani Visualization on colour based flow vector of thermal image for movement detection during interactive session |
| title | Visualization on colour based flow vector of thermal image for movement detection during interactive session |
| title_full | Visualization on colour based flow vector of thermal image for movement detection during interactive session |
| title_fullStr | Visualization on colour based flow vector of thermal image for movement detection during interactive session |
| title_full_unstemmed | Visualization on colour based flow vector of thermal image for movement detection during interactive session |
| title_short | Visualization on colour based flow vector of thermal image for movement detection during interactive session |
| title_sort | visualization on colour based flow vector of thermal image for movement detection during interactive session |
| topic | TA1501-1820 Applied optics. Photonics |
| url | http://eprints.uthm.edu.my/2907/1/AJ%202019%20%2870%29.pdf http://eprints.uthm.edu.my/2907/ https://iopscience.iop.org/article/10.1088/1742-6596/1049/1/012066 |
| url_provider | http://eprints.uthm.edu.my/ |