Road intersection moving object detection by 360-degree view camera

Chinthaka Premachandra, S. Ueda, Y. Suzuki

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

7 Citations (Scopus)

Abstract

This paper presents a new approach in detecting moving objects at road intersections by using 360-degree view camera THETA. The camera is installed at a corner of the intersection. We have experimentally found that images from single THETA can capture the all directions of a road intersection. Furthermore, we propose a new method to detect moving objects from THETA images. Through the real experiments, we could confirm that our methods can detect moving objects such as pedestrians, bicycles and wheelchairs effectively, with a small false positives rate.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019
EditorsHaibin Zhu, Jiacun Wang, MengChu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages369-372
Number of pages4
ISBN (Electronic)9781728100838
DOIs
Publication statusPublished - 2019 May
Event16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019 - Banff, Canada
Duration: 2019 May 92019 May 11

Publication series

NameProceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019

Conference

Conference16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019
Country/TerritoryCanada
CityBanff
Period19/5/919/5/11

Keywords

  • 360-degree camera
  • Driver support systems.
  • Frame subtraction
  • ITS
  • Moving object detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Control and Optimization
  • Instrumentation

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