Unsupervised Construction of Human Body Models Using Principles of Organic Computing

12 Apr 2017 Thomas Walther Rolf P. Würtz

Unsupervised learning of a generalizable model of the visual appearance of humans from video data is of major importance for computing systems interacting naturally with their users and others. We propose a step towards automatic behavior understanding by integrating principles of Organic Computing into the posture estimation cycle, thereby relegating the need for human intervention while simultaneously raising the level of system autonomy... (read more)

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