Skip to main navigation Skip to search Skip to main content

Cross-reference detection algorithm for the real surveillance systems based-on fuzzy corresponding map

  • Masatoshi Makino*
  • , Yutaka Hatakeyama
  • , Kaoru Hirota
  • *Corresponding author for this work
  • Institute of Science Tokyo
  • IEEE

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

Abstract

A detection algorithm with color information for two dynamic images in a real surveillance system is proposed. It considers input region of frame as a detected region or the region behind other objects based on fuzzy corresponding map which describes common regions between input two dynamic images. Detection experimental results for the real surveillance situation show that the proposed algorithm improves 30% of accuracy compared with the independent detection algorithm. The algorithm will be installed in a basis unit for the real surveillance systems.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages130-136
Number of pages7
ISBN (Print)0780394887, 9780780394889
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2006 - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Publication series

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

Conference

Conference2006 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2006
Country/TerritoryCanada
CityVancouver, BC
Period16/07/0621/07/06

Fingerprint

Dive into the research topics of 'Cross-reference detection algorithm for the real surveillance systems based-on fuzzy corresponding map'. Together they form a unique fingerprint.

Cite this