Abstract
A computer vision algorithm for identifying human body features algorithm, called the nine-grid algorithm,is introduced in this paper. The algorithm identifies body features via a two level hierarchy. The lower level makes a series of measurements on the image from line-scan input. The upper level uses a set of heuristics to assign the measurements to body features. A ground truth study is presented, showing the performance of the algorithm for four classes of activity that we consider typical of in-home user interface applications of computer vision. The study showed that the algorithm correctly identified features to a close degree 77% of the time. Closer investigation of the results suggested refinements for the algorithm that would improve this score.
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© 1999 Springer-Verlag Berlin Heidelberg
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Lyons, D.M., Pelletier, D.L. (1999). A Line-Scan Computer Vision Algorithm for Identifying Human Body Features. In: Braffort, A., Gherbi, R., Gibet, S., Teil, D., Richardson, J. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 1999. Lecture Notes in Computer Science(), vol 1739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46616-9_8
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DOI: https://doi.org/10.1007/3-540-46616-9_8
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