Human body postures from trinocular camera images

Shoichiro Iwasawa, Jun Ohya, Kazuhiko Takahashi, Tatsumi Sakaguchi, Kazuyuki Ebihara, Shigeo Morishima

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

16 Citations (Scopus)

Abstract

This paper proposes a new real-time method for estimating human postures in 3D from trinocular images. In this method, an upper body orientation detection and a heuristic contour analysis are performed on the human silhouettes extracted from the trinocular images so that representative points such as the top of the head can be located. The major joint positions are estimated based on a genetic algorithm-based learning procedure. 3D coordinates of the representative points and joints are then obtained from the two views by evaluating the appropriateness of the three views. The proposed method implemented on a personal computer runs in real-time. Experimental results show high estimation accuracies and the effectiveness of the view selection process.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
PublisherIEEE Computer Society
Pages326-331
Number of pages6
ISBN (Print)0769505805, 9780769505800
DOIs
Publication statusPublished - 2000 Jan 1
Externally publishedYes
Event4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 - Grenoble, France
Duration: 2000 Mar 282000 Mar 30

Publication series

NameProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

Conference

Conference4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
CountryFrance
CityGrenoble
Period00/3/2800/3/30

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Iwasawa, S., Ohya, J., Takahashi, K., Sakaguchi, T., Ebihara, K., & Morishima, S. (2000). Human body postures from trinocular camera images. In Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 (pp. 326-331). [840654] (Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000). IEEE Computer Society. https://doi.org/10.1109/AFGR.2000.840654