機械知覚&ロボティクスグループ
中部大学

Vision Applications 学術論文(E)

FPGA Hardware with Target-Reconfigurable Object Detector

Author
Yoshifumi Yazawa, Tsutomu Yoshifumi, Teruyasu Tsuzuki, Tomomi Dohi, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi
Publication
IEICE TRANSACTIONS on Information and Systems, Vol.E98-D, No.9, pp.1637-1645, 2015

Download: PDF (English)

Much effort has been applied to research on object detection by statistical learning methods in recent years, and the results of that work are expected to find use in fields such as ITS and security. Up to now, the research has included optimization of computational algorithms for real-time processing on hardware such as GPU’s and FPGAs. Such optimization most often works only with particular parameters, which often forfeits the flexibility that comes with dynamic changing of the target object. We propose a hardware architecture for faster detection and flexible target reconfiguration while maintaining detection accuracy. Tests confirm operation in a practical time when implemented in an FPGA board.

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