Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered for instance in HRI settings. Accurate methods have been proposed recently, but they usually rely on rather deep Convolutional Neural Network (...

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Veröffentlicht in:IEEE transactions on circuits and systems for video technology 2020-11, Vol.30 (11), p.4207-4221
Hauptverfasser: Martinez-Gonzalez, Angel Noe, Villamizar, Michael, Canevet, Olivier, Odobez, Jean-Marc
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Sprache:eng
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