A visitor counter system using fuzzy measure theory and boosting method

Muhammad Rahmat Widyanto, Ferdi Ferandi, Martin Leonard Tangel

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper proposes a visitor counter system which is capable of counting single & multiple object visitors using fuzzy measure theory for tracking and Boosting method for classification. Besides fuzzy measure theory, the paper also uses Euclidean distance to track a visitor based on his movement between each frame, while fuzzy measure theory tracks a visitor based on trust degree. Both system performances are compared for their visitor tracking accuracy and their computational speed. Experimental results show that Euclidean distance and Fuzzy measure have similar accuracy for tracking visitor. However, Euclidean distance is faster than those of fuzzy measure theory in the computational speed. The proposed visitor counter system can be further developed for real-time visitor counting in shopping mall, station, and other places.

Original languageEnglish
Pages (from-to)46-55
Number of pages10
JournalWSEAS Transactions on Information Science and Applications
Issue number1
Publication statusPublished - Jan 2010


  • Boosting classifier
  • Counting
  • Euclidean distance
  • Fuzzy measure
  • Object detection
  • Tracking


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