DocumentCode :
2093220
Title :
Periodic Motion Detection on Patient with Motion Disorders
Author :
Uhrikova, Zuzana ; Hlavac, Vaclav
Author_Institution :
Center for Machine Perception, Czech Tech. Univ. in Prague, Prague
fYear :
2008
fDate :
17-19 June 2008
Firstpage :
90
Lastpage :
92
Abstract :
The proposed method serves for detecting and analysing translating and non-translating periodic motion with small oscillation from video data. Periodic motion in a video sequence is detected using principles of motion accumulation. Non-translating periodic motion is described as change of the point brightness over the time. The trajectory of the motion is obtained by tracking the translating object with periodic motion. Following frequency analysis is done by the means of Fourier transform. The developed method is applied for observing patients suffering from Parkinson disease.
Keywords :
Fourier transforms; diseases; image motion analysis; image sequences; medical image processing; patient monitoring; video signal processing; video surveillance; Fourier transform; Parkinson disease; frequency analysis; motion accumulation; motion disorders; nontranslating periodic motion; periodic motion detection; video data; video sequence; Fourier transforms; Frequency; Image motion analysis; Legged locomotion; Motion analysis; Motion detection; Optical mixing; Parkinson´s disease; Tracking; Video sequences; motion analysis; periodic motion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
ISSN :
1063-7125
Print_ISBN :
978-0-7695-3165-6
Type :
conf
DOI :
10.1109/CBMS.2008.97
Filename :
4561962
Link To Document :
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