Real-time feature point tracking at 1000 fps

Authors:
Idaku Ishii;Ryo Sukenobe;Yuta Moriue;Kenkichi Yamamoto
Affiliations:
Hiroshima University, Hiroshima, Japan;Hiroshima University, Hiroshima, Japan;Hiroshima University, Hiroshima, Japan;Hiroshima University, Hiroshima, Japan
Venue:
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Year:
2009

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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.