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