Introduced in Watch-n-Patch: Unsupervised Understanding of Actions and Relations2014
The Watch-n-Patch dataset was created with the focus on modeling human activities, comprising multiple actions in a completely unsupervised setting. It is collected with Microsoft Kinect One sensor for a total length of about 230 minutes, divided in 458 videos. 7 subjects perform human daily activities in 8 offices and 5 kitchens with complex backgrounds. Moreover, skeleton data are provided as ground truth annotations.
Source: Head Detection with Depth Images in the Wild Image Source: https://openaccess.thecvf.com/content_cvpr_2015/papers/Wu_Watch-n-Patch_Unsupervised_Understanding_2015_CVPR_paper.pdf
