Blunsden, Scott

Fisher, Bob

English

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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The BEHAVE video dataset: ground truthed video for multi-person behavior classification

The BEHAVE video dataset: ground truthed video for multi-person behavior classification

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