Composable activities dataset

Introduced by Lillo et al. in Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities

The Composable activities dataset consists of 693 videos that contain activities in 16 classes performed by 14 actors. Each activity is composed of 3 to 11 atomic actions. RGB-D data for each sequence is captured using a Microsoft Kinect sensor and estimate position of relevant body joints.

The dataset provides annotations of the activity for each video and the actions for each of the four human parts (left/right arm and leg) for each frame in every video.

Source: Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities

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