|Description (include details on usage, files and paper references)||The Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for the evaluation of action recognition methods.
The creators collected a large body of human action video (MuHAVi) data using 8 cameras. There are 17 action classes as listed in Table 2 performed by 14 actors. Each actor performs each action several times in the action zone highlighted using white tapes on the scene floor. As actors were amateurs the leader had to interrupt the actors in some cases and ask them to redo the action for consistency.
There are 8 CCTV Schwan cameras located at 4 sides and 4 corners of a rectangular platform. Note that these cameras are not necessarily synchronized.