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.
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- Marcos Nieto, Orti Senderos, Oihana Otaegui: Boosting AI applications: Labeling format for complex datasets (2021) not zbMATH