USING FISHEYE CAMERA FOR COST-EFFECTIVE MULTI-VIEW PEOPLE LOCALIZATION

Yueh Cheng Huang, Chin Wei Liu, Jen Hui Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In advanced multi-view video surveillance systems, people localization is usually a crucial part of the complete system and need to be accomplished in a short time to reserve sufficient processing time for subsequent high-level analysis. As the surveillance area increases, it is required to install a large number of cameras for multi-view people localization. To lower the equipment cost and setup time, we incorporate fisheye (or wide-angle) camera to an efficient vanishing point-based line sampling scheme for people localization, by ensuring the fisheye camera is looking downward so that its principal point becomes the vanishing point of vertical lines. Experimental results show that the utilization of fisheye-camera can (i) achieve localization accuracy comparable or superior to that using ordinary cameras, (ii) reduce the camera count by 75% on the average while covering the same or larger size of a monitored area, and (iii) greatly simplify the camera installation process.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings
PublisherIEEE Computer Society
Pages3248-3252
Number of pages5
ISBN (Electronic)9781665441155
DOIs
StatePublished - 2021
Event2021 IEEE International Conference on Image Processing, ICIP 2021 - Anchorage, United States
Duration: 19 Sep 202122 Sep 2021

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2021-September
ISSN (Print)1522-4880

Conference

Conference2021 IEEE International Conference on Image Processing, ICIP 2021
Country/TerritoryUnited States
CityAnchorage
Period19/09/2122/09/21

Keywords

  • 2D/3D line sampling
  • Fisheye camera
  • Multi-camera
  • People localization
  • Vanishing point

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