Back to results

Carleton University

Preprocessing Realistic Video for Contactless Heart rate Monitoring Using Video Amplification Methodologies

Abstract

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.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (M.App.Sc.)
Level thesis:degree_level
Master's
Discipline thesis:degree_discipline
Engineering, Electrical and Computer
Grantor dc:publisher
Carleton University
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Alzahrani, Ahmed

Rights

dc:rights
Statement 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. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Language dc:language.iso
en

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:carleton.scholaris.ca:20.500.14718/42099

Chain of custody

source
Harvested from
Carleton University
Base URL
carleton.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Alzahrani, Ahmed. Preprocessing Realistic Video for Contactless Heart rate Monitoring Using Video Amplification Methodologies. Master's thesis, Carleton University, 2015. https://hdl.handle.net/20.500.14718/42099