Human behavior recognition via top-view vision for intelligent space

Skulkittiyut Weerachai, Makoto Mizukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Intelligent Space (IS), a kind of intelligent home, is one of the popular of the applying RT into our daily life. In intelligent space environment, human behavior is one of the meaningful information for interpretation of our intention and needs. In this paper, we proposed the human posture recognition approach which focuses on a top-view vision. A top-view vision enables our system to observe the whole area with single camera and also avoid horizontal obstacle. Moreover, a human posture feature which based on DFT (Discrete-time Fourier Transform) coefficients of log-polar histogram has been proposed. We have categorized human behavior to two types. The first one is a stationary behavior which consists of standing, sitting and lying. The second one is a moving behavior.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages1687-1690
Number of pages4
Publication statusPublished - 2010
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do
Duration: 2010 Oct 272010 Oct 30

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
CityGyeonggi-do
Period10/10/2710/10/30

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Keywords

  • Human behavior recognition
  • Intelligent space (IS)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Weerachai, S., & Mizukawa, M. (2010). Human behavior recognition via top-view vision for intelligent space. In ICCAS 2010 - International Conference on Control, Automation and Systems (pp. 1687-1690). [5669768]