Real-time estimation of human body postures from monocular thermal images

Shoichiro Iwasawa*, Kazuyuki Ebihara, Jun Ohya, Ryohei Nakatsu, Shigeo Morishima

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


This paper proposes a new real-time method for estimating human body postures from thermal images acquired by an infrared camera, regardless of the background and lighting conditions. Distance transformation is performed for the human body area extracted from the thresholded thermal image, in order to calculate the center of gravity. After the orientation of the upper half of the body is obtained by calculating the moment of inertia, significant points such as the top of the head and the ends of the hands and feet are heuristically located. In addition, the elbow and knee positions are estimated from the detected (significant) points, using a genetic-algorithm-based learning procedure. The experimental results demonstrate the robustness of the proposed algorithm and real-time performance (faster than 20 frames per second).

Original languageEnglish
Pages (from-to)1270-1277
Number of pages8
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Issue number8
Publication statusPublished - 1997
Externally publishedYes

ASJC Scopus subject areas

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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