Vision System with High Performance Wide Angle Fovea Lens

Rei Murakami, Sota Shimizu, Nobuyuki Hasebe

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

Abstract

This paper designs and produces a single camera head, i.e., the camera view direction control device, for the highperformance Wide Angle Fovea (WAF) sensor. Since the input image by the WAF sensor has an explicit attention region inside its wide-angle field of view (FOV), the view direction control of the WAF sensor is strongly required to acquire visual data most efficiently from the environments. Further, this paper proposes an algorithm to detect self-motion of the WAF sensor using the optical flow calculated from two temporally-sequential images. We have implemented and experimented this algorithm. The experimental results have proved the proposed algorithm performs well to detect self-motion using only the peripheral FOV. This vision system enables to distinguish the self-motion from detecting moving objects in the still scene. The authors hope this WAF vision system will play a role of eyes and will help to control robots more intelligently in the very near future.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1229-1232
Number of pages4
Volume2018-September
ISBN (Electronic)9781538671085
DOIs
Publication statusPublished - 2018 Oct 22
Event23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 - Torino, Italy
Duration: 2018 Sep 42018 Sep 7

Other

Other23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018
CountryItaly
CityTorino
Period18/9/418/9/7

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Keywords

  • optical flow
  • self-motion detection
  • single camera head
  • view direction control
  • wide angle fovea sensor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Computer Science Applications

Cite this

Murakami, R., Shimizu, S., & Hasebe, N. (2018). Vision System with High Performance Wide Angle Fovea Lens. In Proceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018 (Vol. 2018-September, pp. 1229-1232). [8502661] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2018.8502661