NDLI: Real-time, 3D estimation of human body postures from trinocular images

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Real-time, 3D estimation of human body postures from trinocular images

Content Provider	IEEE Xplore Digital Library
Author	Iwasawa, S. Ohya, J. Takahashi, K. Sakaguchi, T. Kawato, S. Ebihara, K. Morishima, S.
Copyright Year	1999
Description	Author affiliation: ATR Media Integration Commun. Syst. Res. Labs., Kyoto, Japan (Iwasawa, S.)
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 (30 frames/second). Experimental results show high estimation accuracies and the effectiveness of the view selection process.
Starting Page	3
Ending Page	10
File Size	157325
Page Count	8
File Format	PDF
ISBN	0769503624
DOI	10.1109/PEOPLE.1999.798340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-20
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Head Image analysis Biological system modeling Humans Predictive models Cameras Computational efficiency Pixel Charge-coupled image sensors
Content Type	Text
Resource Type	Article

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