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

  title={The BEHAVE video dataset : ground truthed video for multi-person behavior classification},
  author={Scott Blunsden and Robert B. Fisher},
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 6 different behaviors. An example of its use is also presented. 
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