People Detection in Downward-Viewing Fisheye Camera Networks Using Fuzzy Integral

Tsaipei Wang, Chih Hao Liao

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

1 Scopus citations

Abstract

In this paper we study techniques for accurate detection and localization of multiple people in an indoor scene covered by multiple downward-viewing fisheye cameras. In particular, we propose a fuzzy integral based method for aggregating the information from the multiple cameras to form a combined occupancy map of people in the scene. The experimental results on test videos exhibit good performance for practical use. We also propose methods to account for occlusion by scene objects at different stages of the algorithm that lead to improved results.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538617281
DOIs
StatePublished - Jun 2019
Event2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 - New Orleans, United States
Duration: 23 Jun 201926 Jun 2019

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2019-June
ISSN (Print)1098-7584

Conference

Conference2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
CountryUnited States
CityNew Orleans
Period23/06/1926/06/19

Keywords

  • camera network
  • Choquet integral
  • fisheye camera
  • fuzzy integral
  • person detection
  • person localization
  • probabilistic occupancy map

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