Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rajinda Senaratne"'
Lack of concentration in a driver due to fatigue is a major cause of road accidents. This paper investigates approaches that can be used to develop a video-based system to automatically detect driver fatigue and warn the driver, in order to prevent a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::023db6e2e26d20c3a5e64ba712d375f9
https://hdl.handle.net/10453/18223
https://hdl.handle.net/10453/18223
Publikováno v:
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
We proposed a framework to detect the video contents of depressed and non-depressed subjects. First we characterized the expressed emotions in the video stream using Gabor wavelet features extracted at the facial landmarks which were detected using l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ce364868285cc33df0eb5f2c1675b9b
https://doi.org/10.1109/iembs.2009.5334815
https://doi.org/10.1109/iembs.2009.5334815
Publikováno v:
2007 Third International Conference on Information and Automation for Sustainability.
Driver fatigue is a major cause of accidents on roads. We present a video-based driver fatigue detection system, which uses the Active Appearance Model as a means to track rigid and non-rigid motion of a face in an input video sequence. We propose an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c713f7f4228b7e6c3b3a1f1e26694283
https://doi.org/10.1109/iciafs.2007.4544792
https://doi.org/10.1109/iciafs.2007.4544792
Publikováno v:
Advances in Neural Networks – ISNN 2007 ISBN: 9783540723929
ISNN (2)
ISNN (2)
A video-based driver fatigue detection system is presented. The system automatically locates the face in the first frame, and then tracks the eyes in subsequent frames. Four cues which characterises fatigue are used to determine the fatigue level. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31291068668a52382c9c222933810b1a
https://doi.org/10.1007/978-3-540-72393-6_96
https://doi.org/10.1007/978-3-540-72393-6_96
Autor:
Rajinda Senaratne, Saman K. Halgamuge
Publikováno v:
Journal of Multimedia. 1
A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landmark Model Matching consists of four phases: creation of the landmark d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99ee91bdfc6b36460bc97773447b4d0e
https://doi.org/10.4304/jmm.1.3.31-41
https://doi.org/10.4304/jmm.1.3.31-41
Autor:
Rajinda Senaratne, Saman K. Halgamuge
Publikováno v:
7th International Conference on Automatic Face and Gesture Recognition (FGR06).
A new method for face recognition, landmark model matching, is proposed in this paper. It is based on the concepts of elastic bunch graph matching and active shape model, and optimised with particle swarm optimisation. It is a fully automatic algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::840021b8eff73dbd00f31fc88c9423dd
https://doi.org/10.1109/fgr.2006.85
https://doi.org/10.1109/fgr.2006.85
Autor:
Saman K. Halgamuge, Rajinda Senaratne
Publikováno v:
TENCON 2005 - 2005 IEEE Region 10 Conference.
A new approach to face recognition, where elastic bunch graph matching technique optimised with particle swarm optimisation is proposed in this paper. It is a fully automatic algorithm and can be used for databases where only one image per person is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d536961792fd251d7c20d3f53cca2f44
https://doi.org/10.1109/tencon.2005.301026
https://doi.org/10.1109/tencon.2005.301026
Publikováno v:
Scopus-Elsevier
Elastic Bunch Graph Matching is one of the well known methods proposed for face recognition. In this work, we propose several extensions to Elastic Bunch Graph Matching and its recent variant Landmark Model Matching. We used data from the FERET datab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de9a80a168e27fe2104a75117a7fcd9a
http://www.scopus.com/inward/record.url?eid=2-s2.0-78650341368&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-78650341368&partnerID=MN8TOARS