This code is released as part of the Human Activity Detection project at Personal Robotics Lab at Cornell University.
Currently two codes are available:
- Extracting features from sequence of human activity:
Refer to [Sung et al. ICRA 2012] below.
- Visualizing skeleton data for Cornell Activity Dataset
===== How to run it? =====
1. Download Cornell Activity Dataset from
http://pr.cs.cornell.edu/humanactivities/data.php
2. Feature Extraction - Refer to README inside FeatureExtractor
===== Project Website =====
http://pr.cs.cornell.edu/humanactivities/
===== Any Questions about the code or CAD-60 dataset? =====
Contact: Jaeyong Sung - jysung@cs.cornell.edu
===== More details about this code available at =====
Unstructured Human Activity Detection from RGBD Images,
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh Saxena.
International Conference on Robotics and Automation (ICRA), 2012.
(bibtex)
@inproceedings{sung_rgbdactivity_2012,
title={Unstructured Human Activity Detection from RGBD Images},
author={Jaeyong Sung and Colin Ponce and Bart Selman and Ashutosh Saxena},
booktitle={International Conference on Robotics and Automation (ICRA)},
year={2012}
}