FPDS (Fallen People Data Set)
Introduced by Antonello et al. in Fast and Robust Detection of Fallen People from a Mobile Robot
A benchmark for detecting fallen people lying on the floor. It consists of 6982 images, with a total of 5023 falls and 2275 non falls corresponding to people in conventional situations (standing up, sitting, lying on the sofa or bed, walking, etc). Almost all the images have been captured in indoor environments with very different situations: variation of poses and sizes, occlusions, lighting changes, etc.
Source: FPDSPapers
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