Skeleton estimation and tracking by means of depth data fusion from depth camera networks

Author:

Carraro Marco,Munaro Matteo,Menegatti EmanueleORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference25 articles.

1. Hierarchical recurrent neural network for skeleton based action recognition;Du,2015

2. Real-time human pose recognition in parts from single depth images;Shotton;Commun. ACM,2013

3. Supervised+ unsupervised classification for human pose estimation with rgb-d images: a first step towards a rehabilitation system;Aguado,2017

4. A human-robot interaction interface for mobile and stationary robots based on real-time 3d human body and hand-finger pose estimation;Ehlers,2016

5. F. Han, X. Yang, C. Reardon, Y. Zhang, H. Zhang, Simultaneous feature and body-part learning for real-time robot awareness of human behaviors, arXiv preprint arXiv:1702.07474, 2017.

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