DocumentCode :
2687192
Title :
1000-fps target tracking using vibration-based image features
Author :
Ishii, Idaku ; Ohara, Ikuya ; Tatebe, Tetsuro ; Takaki, Takeshi
Author_Institution :
Hiroshima Univ., Hiroshima, Japan
fYear :
2011
fDate :
9-13 May 2011
Firstpage :
1837
Lastpage :
1842
Abstract :
In this paper, we propose a concept for the real time target tracking of vibrating objects to extract vibration image regions using digital filters at all the pixels in an image, assuming that periodic changes in image intensities exist at pixels around vibrating objects. By combining vibration-based processing with color extraction as a masking process, our algorithm can prevent the latency effect on a digital filter, which may degrade its tracking performance. Digital filters at a pixel level are implemented on a 1000-fps vision system that can measure vibration distribution over a wide range of frequencies. On our target tracking system, we can track a vibrating object at the center of the camera view by controlling a 2-DOF (Degree Of Freedom) active vision system with vibration-based image features. We have verified its effectiveness by presenting several experimental results using objects vibrating at high frequencies, which cannot be observed with the naked eye.
Keywords :
cameras; digital filters; feature extraction; target tracking; vibration measurement; 2-DOF active vision system; color extraction; digital filter; image intensities; masking process; real time target tracking; vibration distribution measurement; vibration image region extraction; vibration-based image feature; vibration-based processing; Cameras; Feature extraction; Head; Image color analysis; Machine vision; Target tracking; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
ISSN :
1050-4729
Print_ISBN :
978-1-61284-386-5
Type :
conf
DOI :
10.1109/ICRA.2011.5979551
Filename :
5979551
Link To Document :
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