A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS

Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Naveen Suda, Luning Wei, Pooja Saseendran, Xiaofei He, Yu Cao, Jae-sun Seo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an object detection accelerator that features many-scale (17), many-object (up to 50), multi-class (e.g., face, traffic sign), and high accuracy (average precision of 0.79/0.65 for AFW/BTSD datasets). Employing 10 gradient/color channels, integral features are extracted, and the results of 2,000 simple classifiers for rigid boosted templates are adaptively combined to make a strong classification. By jointly optimizing the algorithm and the hardware architecture, the prototype chip implemented in 65nm CMOS demonstrates real-time object detection of 13-35 frames per second with low power consumption of 22-160mW at 0.58-1.0V supply.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
DOIs
StatePublished - Sep 25 2017
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: May 28 2017May 31 2017

Other

Other50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
CountryUnited States
CityBaltimore
Period5/28/175/31/17

Keywords

  • classification
  • low-power
  • machine learning
  • object detection
  • real-time
  • special-purpose accelerator

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Kim, M., Mohanty, A., Kadetotad, D., Suda, N., Wei, L., Saseendran, P., He, X., Cao, Y., & Seo, J. (2017). A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS. In IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings [8050798] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2017.8050798