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

Shoichiro Iwasawa, Kazuyuki Ebiharai, Jun Ohya, Shigeo Morishima

Research output: Contribution to journalConference article

61 Citations (Scopus)

Abstract

This paper introduces a new real-time method to estimate the posture of a human 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 for the calculation of 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, the tips of the hands and foot 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 (faster than 20 frames per second) performance.

Original languageEnglish
Pages (from-to)15-20
Number of pages6
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publication statusPublished - 1997 Jan 1
Externally publishedYes
EventProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA
Duration: 1997 Jun 171997 Jun 19

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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