A suspicious action detection system considering time series

Noriaki Kozuka, Koji Kimura, Masafumi Hagiwara

Research output: Contribution to journalArticlepeer-review


The paper proposes a new system that can detect suspicious actions such as a car break-in and surroundings in an open space parking, based on image processing. The proposed system focuses on three points of "order", "time", and "location" of human actions. The proposed system has the following features: it 1) deals time series data flow, 2) estimates human actions and the location, 3) extracts suspicious action detection rules automatically, 4) detects suspicious actions using the suspicious score. We carried out experiments using real image sequences. As a result, we obtained about 7.8% higher estimation rate than the conventional system.

Original languageEnglish
Pages (from-to)2014-2021
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number11
Publication statusPublished - 2011


  • Action features
  • Location features
  • Suspicious action detection rule
  • Suspicious score
  • Time series

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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