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} }