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Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning | IEEE Conference Publication | IEEE Xplore

Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning


Abstract:

In this paper, we discuss an effective method for detecting human upper body parts from a 2D image silhouette using curvature analysis and ellipse fitting. First we smoot...Show More

Abstract:

In this paper, we discuss an effective method for detecting human upper body parts from a 2D image silhouette using curvature analysis and ellipse fitting. First we smooth the silhouette so that we can determine just the global features: the head, hands and armpits. Next we reduce the smoothing to detect the local features of the neck and elbows. We model the human upper body by multiple connected ellipses. Thus we segment the body by the extracted features. Ellipses are fitted to each segment. Lastly, we apply a non-linear least square method to minimize the differences between the connected ellipse model and the edge of the silhouette.
Date of Conference: 07-10 November 2009
Date Added to IEEE Xplore: 17 February 2010
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Conference Location: Cairo, Egypt

References

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