{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/42099"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/42099","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Preprocessing Realistic Video for Contactless Heart rate Monitoring Using Video Amplification Methodologies","abstract":"In this research, we improved the outcomes of Eulerian Video Magnification in real life scenarios. The proposed system minimizes or eliminates the motion constrained effect. The system will preprocess the video through multi staged tasks using subject targeting and stabilizing. The resulted prepared video will be compatible with Eulerian method bounds. Our method will enable the magnification to be used in variety of applications with presence of motion. Therefore, video analysis for subjects’ skin redness that was captured by a normal camera is easy to use, mobile and less complex.The core element of the research which is stabilization was achieved by using face tracking and features detection, extraction and matching with skin selection. Furthermore, the skin tone and illumination in the environment are affecting the results. Since skin redness change is related to blood flow, then controlling the skin redness will enhance the readable information under video magnification.","abstract_html":"In this research, we improved the outcomes of Eulerian Video Magnification in real life scenarios. The proposed system minimizes or eliminates the motion constrained effect. The system will preprocess the video through multi staged tasks using subject targeting and stabilizing. The resulted prepared video will be compatible with Eulerian method bounds. Our method will enable the magnification to be used in variety of applications with presence of motion. Therefore, video analysis for subjects’ skin redness that was captured by a normal camera is easy to use, mobile and less complex.The core element of the research which is stabilization was achieved by using face tracking and features detection, extraction and matching with skin selection. Furthermore, the skin tone and illumination in the environment are affecting the results. Since skin redness change is related to blood flow, then controlling the skin redness will enhance the readable information under video magnification.","abstract_has_math":false,"creators":["Alzahrani, Ahmed"],"institution":"Carleton University","degree_name":"Master of Applied Science (M.App.Sc.)","degree_level":"Master's","degree_discipline":"Engineering, Electrical and Computer","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015","date_published":"2015","updated_at":"2026-07-24T01:34:43Z","subjects":[],"languages":["en"],"rights":["Copyright © 2015 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. 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The proposed system minimizes or eliminates the motion constrained effect. The system will preprocess the video through multi staged tasks using subject targeting and stabilizing. The resulted prepared video will be compatible with Eulerian method bounds. Our method will enable the magnification to be used in variety of applications with presence of motion. Therefore, video analysis for subjects’ skin redness that was captured by a normal camera is easy to use, mobile and less complex.The core element of the research which is stabilization was achieved by using face tracking and features detection, extraction and matching with skin selection. Furthermore, the skin tone and illumination in the environment are affecting the results. Since skin redness change is related to blood flow, then controlling the skin redness will enhance the readable information under video magnification."]},{"key":"dc:title","label":"Title","values":["Preprocessing Realistic Video for Contactless Heart rate Monitoring Using Video Amplification Methodologies"]}]}],"canonical_facts":{"dc:creator":["Alzahrani, Ahmed"],"dc:date.accessioned":["2025-04-08T20:31:30Z"],"dc:date.available":["2025-04-08T20:31:30Z"],"dc:date.issued":["2015"],"dc:description.abstract":["In this research, we improved the outcomes of Eulerian Video Magnification in real life scenarios. The proposed system minimizes or eliminates the motion constrained effect. The system will preprocess the video through multi staged tasks using subject targeting and stabilizing. The resulted prepared video will be compatible with Eulerian method bounds. Our method will enable the magnification to be used in variety of applications with presence of motion. Therefore, video analysis for subjects’ skin redness that was captured by a normal camera is easy to use, mobile and less complex.The core element of the research which is stabilization was achieved by using face tracking and features detection, extraction and matching with skin selection. Furthermore, the skin tone and illumination in the environment are affecting the results. Since skin redness change is related to blood flow, then controlling the skin redness will enhance the readable information under video magnification."],"dc:identifier.doi":["10.22215/etd/2015-10636"],"dc:identifier.uri":["https://hdl.handle.net/20.500.14718/42099"],"dc:language.iso":["en"],"dc:publisher":["Carleton University"],"dc:rights":["Copyright © 2015 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. 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