Abstract
The proposed system aims at automatic identification of an unknown dance posture referring to the twenty primitive postures of ballet, simultaneously measuring the proximity of an unknown dance posture to a known primitive. The proposed system aims at automatic identification of an unknown dance posture referring to the twenty primitive postures of ballet, simultaneously measuring the proximity of an unknown dance posture to a known primitive. A simple and novel six stage algorithm achieves the desired objective. Skin color segmentation is performed on the dance postures, the outputs of which are dilated and processed to generate skeletons of the original postures.
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Konar, A., Saha, S. (2018). Radon Transform Based Automatic Posture Recognition in Ballet Dance. In: Gesture Recognition. Studies in Computational Intelligence, vol 724. Springer, Cham. https://doi.org/10.1007/978-3-319-62212-5_2
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DOI: https://doi.org/10.1007/978-3-319-62212-5_2
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