DocumentCode :
1632497
Title :
Real-time feature point tracking at 1000 fps
Author :
Ishii, Idaku ; Sukenobe, Ryo ; Moriue, Yuta ; Yamamoto, Kenkichi
Author_Institution :
Hiroshima Univ., Higashi-Hiroshima, Japan
fYear :
2009
Firstpage :
515
Lastpage :
520
Abstract :
Real-time feature point tracking at 1000 fps was performed by implementing a feature point tracking algorithm on a high-speed vision platform, which is improved for hardware integration and high-speed processing at real time. The high-speed vision platform on which the improved algorithm is hardware-implemented can be used to track feature points of 1024×1024 pixel images at 1000 fps. By considering fast-moving objects in the real world, we verified the performance of our developed real-time feature point tracking system.
Keywords :
pointing systems; robot vision; feature point tracking algorithm; high-speed processing; high-speed vision platform; Feature extraction; Field programmable gate arrays; Hardware; Image processing; Karhunen-Loeve transforms; Pixel; Real time systems; Robot vision systems; Signal processing; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4244-4808-1
Electronic_ISBN :
978-1-4244-4809-8
Type :
conf
DOI :
10.1109/CIRA.2009.5423150
Filename :
5423150
Link To Document :
بازگشت