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HAJJv2_dataset

The official repository of the HAJJv2 dataset. Which is a dataset that includes individuals' abnormal behaviors in massive crowds.

Contributers:

Tarik Alafif, Anas Hadi, Manal Allahyani, Bander Alzahrani, Areej Alhothali, Reem Alotaibi, Ahmed Barnawi

Description:

The HAJJv2 dataset consists of 18 videos collected manually from different places and scenes during the annual Hajj religious event. There are five videos captured in the "Massaa" scene while other videos are captured in the "Jamarat", "Arafat" and "Tawaf" scenes. In these videos, individuals' abnormal behaviors include standing, sitting, sleeping, running, moving in opposite or different crowd directions, and non-pedestrian entities such as cars and wheelchairs. Individuals' abnormal behaviors in the videos are manually annotated and labeled for training and testing.

HAJJv2 dataset statistics:

Classes Training Testing
Different Crowd Direction 7,152 6,262
Moving In Opposite 36,577 18,802
Moving Non-Human Object 4,186 4,146
Running 51 190
Sitting 100,633 83,644
Sleeping 2,400 2,618
Standing 19,773 14,107

Official Paper

Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds