This is a free & open source software for human activity recognition using RGB-D sensors.
For any questions/suggestions, please contact the author.
For installation and usage, please visit http://ninghanghu.eu/activity_recognition.html
The software has integrated the work of three publications:
The first paper introduced the graphical model for recognizing a sequence of activities.
@inproceedings{Hu2014activity,
author = {Hu, Ninghang and Englebienne, Gwenn and Lou, Zhongyu and Kr\"{o}se, Ben},
booktitle = {Proc. IEEE International Conference on Robotics and Automation (ICRA)},
title = {Learning Latent Structure for Activity Recognition},
year = {2014}
}
The second paper proposed the idea of soft labeling, where the uncertainty of labeling is considered during training.
@inproceedings{Hu2014softlabeling,
author = {Hu, Ninghang and Englebienne, Gwenn and Lou, Zhongyu and Kr\"{o}se, Ben},
booktitle = {Robotics: Science and Systems (RSS)},
title = {{Learning to Recognize Human Activities from Soft Labeled Data}},
year = {2014}
}
The third paper extends the first work for recognizing high-level activities.
@inproceedings{Hu2014highlevel,
author = {Hu, Ninghang and Englebienne, Gwenn and Kr\"{o}se, Ben},
booktitle = {Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (ROMAN)},
title = {{A Two-layered Approach to Recognize High-level Human Activities}},
year = {2014}
}
The source code is developped and tested based on Ubuntu 12.04 LTS (64bit) platform with Matlab 2012a. Other platforms and Matlab versions may work upon minor changes.