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Active Appearance Model (AAM) is a computer vision procedure for statistical matching of object shape and appearance between images. An approach for automatic landmarking of body shapes on still images for AAMs training is introduced in this paper. We explore the possibility to extend current methods to full body contours. Our proposal represents a new research line in human body pose tracking with a single-view camera. Hence, implementation in real-time would lead to people being recognized by robots endowed with minimal vision resources, like a webcam, in human-robot interaction tasks.
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