pip install -r requirements.txt

• Home (Home_01.zip and Home_02.zip) and Coffee room (Coffee_room_01.zip and Coffee_room_02.zip)

• For each video, the annotation is given video (i).txt in Annotation_files. Each annotation file contains each file contains:

  • The frame number of the beginning of the fall
  • The frame number of the end of the fall
  • The height, the width and the coordinates of the center of the bounding box for each frame

• Fall Detection Dataset (FDD): https://medium0.com/diving-in-deep/fall-detection-with-pytorch-b4f19be71e80
• https://imvia.u-bourgogne.fr/en/database/fall-detection-dataset-2.html
• https://drive.google.com/drive/folders/19KTp4-0Q4RL7MRsd0Gqxbt-1oKA-pbeY
• https://github.com/dzungvpham/fall-detection-two-stream-cnn dzungvpham/fall-detection-two-stream-cnn#2

• Le2i - Laboratoire Electronique, Informatique et Image](Le2i - Laboratoire Electronique, Informatique et Image) [1]. A dataset contains four scenes:
  • Home(60 videos), Coffee room(70 videos), Office(64 videos), Lecture room(27 videos)
• Only Home and Coffee room subset have 'Annotation_files', which describe the frame number of the beginning and end of the fall.
  • FORMAT: 320x240 25FPS.
  • High quality. Single person.
  • A large-volume dataset.

• https://drive.google.com/drive/folders/19KTp4-0Q4RL7MRsd0Gqxbt-1oKA-pbeY