Deception Detection Via Blob Motion Pattern Analysis

  • Authors:
  • Fan Xia;Hong Wang;Junxian Huang

  • Affiliations:
  • State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, P.R. China;State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, P.R. China;State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, P.R. China

  • Venue:
  • ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
  • Year:
  • 2007

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Abstract

Deception dectection is one of the most difficult problems in affect recognition and expression research area. Recently, non-verbal methods of detecting deception have appeared to be promising. Thomas[1] presented a proof-of-concept study based on the blob analysis of some suspects' interviews and mock experiments video clips. In this paper, we present our recent research work in the direction of developing an automated deception detection system. We propose a blob motion pattern analysis approach to solve this problem.