ADSC RGBD Activities Benchmark Dataset (BingBing Ni, Gang Wang, Pierre Moulin)
The availability of low-cost depth cameras has encouraged the computer vision community to investigate depth video as the basis for recognizing actions and activities, with potentially greater accuracy and higher speed than is possible with conventional video. However, to compare proposed new action recognition algorithms, researchers need a reference set of action footage filmed with depth cameras, to serve as a benchmarking database. ADSC’s benchmark dataset includes registered depth and color video footage showing people performing activities of daily life. This dataset is freely available to other research groups working in the area.