Development of high-speed and real-time vision platform, H3vision

Authors:
Idaku Ishii;Taku Taniguchi;Ryo Sukenobe;Kenkichi Yamamoto
Affiliations:
Hiroshima University, Hiroshima, Japan;Hiroshima University, Hiroshima, Japan;Hiroshima University, Hiroshima, Japan;Hiroshima University, Hiroshima, Japan
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

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Abstract

In this paper, we introduce a high-speed vision platform, H3 (Hiroshima Hyper Human) Vision, which can simultaneously process a 1024 × 1024 pixel image at 1000 fps and a 256 × 256 pixel image at 10000 fps by implementing image processing algorithms as hardware logic on a dedicated FPGA board. Various types of algorithms are actually implemented to show that H3 Vision can work a high-speed image processing engine. Experimental results are shown for multi-target color tracking, feature point tracking, optical flow detection, and pattern recognition by using high-order local auto-correlation (HLAC) feature at a frame rate of 1000 fps or more.