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- W1991740905 abstract "Estimating human pose in static images is a challenging task due to the high dimensional state space, presence of image clutter and ambiguities of image observations. In this paper we propose a method to automatically detect human poses in a single image, based on a 2D model combined with anthropometric data. Furthermore, we use artificial neural networks to detect high level information about the human posture. Experimental results showed that the proposed technique performs well in non trivial images." @default.
- W1991740905 created "2016-06-24" @default.
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- W1991740905 date "2011-08-01" @default.
- W1991740905 modified "2023-09-23" @default.
- W1991740905 title "Automatic Detection of 2D Human Postures Based on Single Images" @default.
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- W1991740905 doi "https://doi.org/10.1109/sibgrapi.2011.4" @default.
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