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Dr. Kenneth Dawson-Howe

Assistant Professor (Computer Science)
OREILLY INSTITUTE

 Kenneth.Dawson-Howe@tcd.ie

 3531896 1535


Research Tags

  Augmented Reality   Computer Vision   Computer vision and robotics   IMAGE ANALYSIS   Image Processing   SURVEILLANCE

Representations

Details Date
Conference chair of IMVIP 2015 August 2015
Senan d'Art and Kenneth Dawson-Howe, Comparing the automatic evaluation of CPR compression rates using a smartwatch vs a smartphone., Irish Machine Vision and Image Processing Conference, Dublin, Ireland, September 2-3, 2021, edited by Vladimir A. Krylov, Kevin McGuinness , 2021, pp97 - 100, Conference Paper, PUBLISHED  TARA - Full Text
Gavin Corkery and Kenneth M. Dawson-Howe, A Smartphone Tool for Evaluating Cardiopulmonary Resuscitation (CPR) Delivery, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Volume 4: VISAPP, Prague, Czech Republic, 25-27th February 201, edited by Alain Trémeau, Giovanni Maria Farinella, and José Braz , SciTePress, 2019, pp489 - 496, Conference Paper, PUBLISHED
Robert McCaffrey and Kenneth Dawson-Howe, Video Based Piano Music Transcription, Irish Machine Vision and Image Processing Conference (IMVIP), Maynooth, Ireland, 31st August 2017, edited by John McDonald, Charles Markham and Adam Winstanley , Irish Pattern Recognition and Classification Society, 2017, pp229 - 232, Notes: [ISBN 978-0-9934207-2-6], Conference Paper, PUBLISHED
Jason Hogan and Kenneth Dawson-Howe, Automatic Book Finding on Bookshelves, Irish Machine Vision and Image Processing Conference (IMVIP), Maynooth, Ireland, 31st August 2017, edited by John McDonald, Charles Markham and Adam Winstanley , Irish Pattern Recognition and Classification Society, 2017, pp217 - 220, Notes: [ISBN 978-0-9934207-2-6], Conference Paper, PUBLISHED
Jack Fitzsimons and Kenneth Dawson-Howe, Abandoned, Removed and Moved object classification, International Journal of Pattern Recognition and Artificial Intelligence, 30, (1), 2016, Journal Article, ACCEPTED  DOI
Darren Caulfield and Kenneth Dawson-Howe, An Extensive Evaluation of Mean-Shift Tracking for Surveillance, International Journal of Imaging and Robotics, 15, (2), 2015, p1 - 21, Journal Article, PUBLISHED
Rozenn Dahyout, Gerard Lacey, Kenneth Dawson-Howe, Francois Pitie, David Moloney(ed.), Irish Machine Vision and Image Processing Conference (IMVIP 2015), Dublin, Ireland, 26-28 August 2015, 2015, 1-127 p, Proceedings of a Conference, IN_PRESS  URL
(ed.), IRISH MACHINE VISION & IMAGE PROCESSING Conference proceedings 2015, Irish Pattern Recognition & Classification Society (ISBN 978-0-9934207-0-2), 2015, 1 - 139 p, Notes: [http://hdl.handle.net/2262/74714], Proceedings of a Conference, PUBLISHED  TARA - Full Text  Handle  Other
Kenneth Dawson-Howe, A Practical Introduction to Computer Vision with OpenCV, 1st, Wiley, 2014, 1 - 217pp, Book, PUBLISHED  URL  URL
Ian Beatty-Orr, and Kenneth Dawson-Howe, Frontal Detection of Backpacks in Surveillance Videos, Irish Machine Vision and Image Processing Conference (IMVIP), Derry-Londonderry, 27-29 August 2014, edited by Sonya Coleman, Bryan Gardiner, Dermot Kerr , 2014, pp116 - 121, Conference Paper, PUBLISHED  URL
  

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Tomos G. Williams and Kenneth M. Dawson-Howe, Automated Force Sensed Probing for Buried Landmine Detection, Trinity College, Dublin, Dept. of Computer Science, 1997, Report, PUBLISHED
Tomos G. Williams and Kenneth M. Dawson-Howe, Hand-Held Force Probing Experiment, Trinity College, Dublin, Dept. of Computer Science, 1997, Report, PUBLISHED
Kenneth Dawson-Howe, Active Surveillance using Dynamic Background Subtraction, 1996, (TCD-CS-96-06), Report, PUBLISHED
Gerard Lacey, Kenneth M. Dawson-Howe and David Vernon, Personal Autonomous Mobility Aid for the frail and elderly blind, Trinity College Dublin, 1995, (TCD-CS-95-18), Report, PUBLISHED

  

Research Interests

Description Of Research Interests

I'm a member of the GRAPHICS, VISION and VISUALIZATION (GV2) research group. This group is the result of a merger between Computer Vision and Robotics research group (established in 1983) and the Graphics research group. The Computer Vision and Robotics research group has pursued excellence in both academic and industrial research. We have provided engineering solutions to problems which require sensing and physical interaction. The aim of the group is to advance the state of the art in the fields of computer vision and robotics. This has been achieved through research and its validation in practical applications, many of which assume an industrial nature.