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BEHAVE video

swMATH ID: 36628
Software Authors: Blunsden S., Fisher R.B.
Description: The BEHAVE video dataset: ground truthed video for multi-person behavior classification. Although there is much research on behaviour recognition in time-varying video, there are few ground truthed datasets for assessing multi-person behavioral interactions. This short paper presents the BEHAVE project’s dataset, which has around 90,000 frames of humans identified by bounding boxes, with interacting groups classified into one of 5 different behaviors. An example of its use is also presented.
Homepage: https://core.ac.uk/download/pdf/28969617.pdf
Related Software: L5Kit; BoundingBoxes; Drive&Act; LabelMe; H3D; Waymo; ApolloScape; BDD100k; ADE20k; nuScenes; Mapillary Vistas; Cityscapes; SYNTHIA Dataset; KITTI; MS-COCO; Python; VCD
Cited in: 0 Publications