Personal profile
Quote
“Both the function and the implementation determine the resulting video processing algorithm, and ideally they should be designed together.”
Research profile
Gerard de Haan is Professor of Electronic Systems within the Department of Electrical Engineering at Eindhoven University of Technology (TU/e).
His research field is video signal processing in a broad sense. Application areas include multimedia systems and video health monitoring. The general goal of the processing is signal enhancement to improve the image quality and accurate sensing of vital signals amidst strong artifacts, with topics including: noise and artifact reduction, video format conversion, displayspecific processing, and enabling technologies such as motion estimation and object detection.
De Haan’s research has been documented in 4 books and 3 book chapters, about 200 papers and more than 200 patent applications, and it has resulted in various commercially available ICs. De Haan serves on the program committees of various international conferences on image/video processing and analysis and has been a guest editor for special issues of Elsevier, IEEE, and Springer.
Academic background
Gerard de Haan received his BSc (cum laude), MSc (cum laude), and PhD degrees from Delft University of Technology in 1977, 1979 and 1992, respectively. He joined Philips Research in 1979 to lead research projects in the area of video processing and analysis. From 1988 to 2007, he taught post-academic courses for the Philips Center for Technical Training at various locations in Europe, Asia and the United States.
In 2000, he was appointed Fellow in the Video Processing & Analysis group of Philips Research Eindhoven, and Full Professor at Eindhoven University of Technology (TU/e).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Research output
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True-motion estimation using feature correspondence
Braspenning, R. A. C. & Haan, de, G., 2004, Visual Communications and Image Processing (VCIP) 2004. p. 396-407 (Proceedings of SPIE; vol. 5308).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
27 Link opens in a new tab Citations (Scopus) -
Robust pulse-rate from chrominance-based rPPG.
Haan, de, G. & Jeanne, V., 2013, In: IEEE Transactions on Biomedical Engineering. 60, 10, p. 2878-2886Research output: Contribution to journal › Article › Academic › peer-review
1313 Link opens in a new tab Citations (Scopus)2 Downloads (Pure) -
Improved motion robustness of remote-PPG by using the blood volume pulse signature
Haan, de, G. & Leest, van, A. J., 2014, In: Physiological Measurement. 35, 9, p. 1913-1926Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile475 Link opens in a new tab Citations (Scopus)2376 Downloads (Pure) -
New principle for measuring arterial blood oxygenation, enabling motion-robust remote monitoring
van Gastel, M. J. H., Stuijk, S. & de Haan, G., 7 Dec 2016, In: Scientific Reports. 6, p. 1-16 16 p., 38609.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile95 Link opens in a new tab Citations (Scopus)297 Downloads (Pure) -
Apparatuses and methods for improved encoding of images for better handling by displays
Damkat, C. (Inventor), de Haan, G. (Inventor), Mertens, M. (Inventor), Muijs, R. (Inventor), Hammer, M. (Inventor) & Newton, S. (Inventor), 15 Feb 2022, Patent No. US11252414Research output: Patent › Patent publication
Open AccessFile29 Downloads (Pure)
Press/Media
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Remote monitoring less burdensome for babies with apnea
de Haan, G., Stuijk, S., van Pul, C. & Andriessen, P.
24/11/21
1 item of Media coverage
Press/Media: Expert Comment
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Remote method to monitor apnea gives premature babies an easier time
de Haan, G., van Pul, C., Stuijk, S. & Andriessen, P.
18/11/21 → 19/11/21
5 items of Media coverage
Press/Media: Expert Comment
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Organizing the Tutorial of "Computer Vision for Physiological Measurement and Health Care" on CVPR 2021
Wang, W., de Haan, G., K. Mestha, L., Li, X. & Shan, S.
19/06/21
1 Media contribution
Press/Media: Public Engagement Activities
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Organizing the Tutorial of "Contactless Health Monitoring with AI" on CVPR 2020
Wang, W., de Haan, G., Mao, S., Wang, X. & Zhao, M.
14/06/20
1 Media contribution
Press/Media: Public Engagement Activities
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Organizing the Tutorial of "Camera based Physiological Measurement" on CVPR 2019
Wang, W., Zinger, S. & de Haan, G.
16/06/19
1 Media contribution
Press/Media: Public Engagement Activities