Journal Article A low power, VLSI object recognition processor using Sparse FIND feature for 60 fps HDTV resolution video

Matsukawa, Go  ,  Kodama, Taisuke  ,  Nishizumi, Yuri  ,  Kajihara, Koichi  ,  Nakanishi, Chikako  ,  Izumi, Shintaro  ,  Kawaguchi, Hiroshi  ,  Goto, Toshio  ,  Kato, Takeo  ,  Yoshimoto, Masahiko

14 ( 15 )  , p.20170668 , 2017-08 , Institute of Electronics, Information and Communication Engineers(IEICE)
This paper describes a low-power object recognition processor VLSI for HDTV resolution video at 60 frames per second (fps) using an object recognition algorithm with Sparse FIND features. The VLSI processor features two-stage feature extraction processing by HOG and Sparse FIND, a highly parallel classification in the support vector machine (SVM), and a block-parallel processing for RAM access cycle reduction. Compared to the accuracy by the original Sparse FIND algorithm, the two-stage object detection demonstrates insignificant accuracy degradation. Using this architectural design, a 60 fps performance for object recognition of HDTV resolution video was attained at an operating frequency of 130 MHz. This 3.35 x 3.35 mm(2) chip, designed with 40 nm CMOS technology, contains 8.22 M gates and 5 Mb SRAM in the chip of 3.35 x 3.35 mm(2). The simulated power consumption at 133 MHz were 528 mW and 702 mW at the slow process condition (SS, 0.81 V, -40 degrees C) and typical process condition (TT, 0.9 V, 25 degrees C), respectively.

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