FallAction_dataset.zip

FallAction Dataset for Uncertain Action Recognition<br>Nitika Nigam, Deepali Verma, and Tanima DuttaIndian Institute of Technology (BHU), India.<br>Overview:FallAction is an uncertain action recognition dataset of realistic people falling videoscollected from YouTube. The dataset comprises 15 fall action categories, and eachcategory contains 50-100 videos. FallAction gives the diversity in terms of differentfalling actions and with the presence of noises, such as, variations in camera motions,person appearance, viewpoint, cluttered background, illumination conditions, etc. It is achallenging dataset for uncertain action recognition. Most action recognition datasetsare based on certain actions; on the contrary, FallAction aims to encourage furtherresearch into uncertain action recognition by learning and exploring new realisticuncertain fall action categories.Structure for FallAction Dataset● Data associated with each fall action category is stored in separate directories.● Each directory comprises *.mp4 files for videos.● The directory is arranged in the following structure:FallAction_datasets├── Butt_fall├── Drunk_fall├── Elderly_fall├── Escalator_fall├── Faint_fall├── False_start_fall├── Handstand_fall├── High_Heel_Break_fall├── Karate_fall├── Parkour_fall├── Pool_fall├── Side_fall├── Surfing_fall├── Trust_fall└── Yoga_fall