Estimating complicated and overlapped human body postures by wearing a multiple-colored suit using color information processing

Dong Wan Kang, Yuichi Onuma, Jun Ohya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper suggested an image processing method using a multiple-colored suit for estimating complicated postures of a human body. One of the major problems on the posture estimation when using the silhouette image analysis is the overlap of the body parts' silhouettes. In order to solve this problem, the human wears the multiple-colored suit so that each body part has a different color from the other body parts. Experimental results show the effectiveness of the proposed method. It has confirmed that the complicated overlapped postures can be analyzed through the contour of the human's silhouette and the color information from the body segments that are taken using three directional cameras which are located at the front, left, and right side of the subject.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages687-692
Number of pages6
DOIs
Publication statusPublished - 2004 Sep 24
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: 2004 May 17 → 2004 May 19

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Conference

ConferenceProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
CountryKorea, Republic of
CitySeoul
Period04/5/17 → 04/5/19

ASJC Scopus subject areas

  • Engineering(all)

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    Kang, D. W., Onuma, Y., & Ohya, J. (2004). Estimating complicated and overlapped human body postures by wearing a multiple-colored suit using color information processing. In Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 (pp. 687-692). (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition). https://doi.org/10.1117/12.536143