Add video files to the input folder, a video file has been provided for testing.
Run the main extract_features.py file to get features extracted into the output folder.
This is part of an extension of work conducted for Anomaly Detection for video surveillance footage.
Use the UCF Crime Dataset from the paper Real-world Anomaly Detection in Surveillance Videos which is available at UCF Crime Dataset to obtain CCTV Surveillance videos.
The C3D feature extractor is originally available as a Caffe Model by Facebook.
This code is based on the work done Ptirupat.