Vision System with High Performance Wide Angle Fovea Lens

Rei Murakami, Sota Shimizu, Nobuyuki Hasebe

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1229-1232
ページ数4
2018-September
ISBN(電子版)9781538671085
DOI
出版物ステータスPublished - 2018 10 22
イベント23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 - Torino, Italy
継続期間: 2018 9 42018 9 7

Other

Other23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018
Italy
Torino
期間18/9/418/9/7

    フィンガープリント

ASJC Scopus subject areas

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

これを引用

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