Office Activity (OA) Dataset
Description
The Office Activity (OA) dataset collected by us is a more complex activity dataset which covers the common daily activities happened in office. It is a large dataset with 1180 RGB-D activity sequences. To capture human activities in multi-views, we set three RGB-D sensors in different viewpoints for recording and each subject is asked to perform twice in one activity. To increase the variability of the activities, we record them in two different scenes, i.e., two different offices. More importantly, we not only consider the single human activity, but also deal with the problem with more than one people.
Citation
Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang, “A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition”, International Journal of Computer Vision (IJCV), 118(2): 256-273, 2016.
