Identifying Criminal Activites in Video Footages using Deep Learning Methods

  • Utkarsh Paliwal, S.Iniyan, Dr R. Jebakumar

Abstract

Identifying Criminal Activities from video footages is the process of getting high level features from a set of training data and analyzing it to understand the related features which contribute to a video being labelled as “Criminal” or “Normal”. We used image processing techniques to extract features from the related videos and the machine was able to learn the features to able to correctly classify the given video as “Criminal” or “Normal”. The proposed system uses the following tools – a network of Convolutional Neural Network layers amalgamated with Artificial neural network which uses backpropagation to converge to a minimum loss.

Published
2020-06-02
How to Cite
Utkarsh Paliwal, S.Iniyan, Dr R. Jebakumar. (2020). Identifying Criminal Activites in Video Footages using Deep Learning Methods. International Journal of Advanced Science and Technology, 29(9s), 6465 - 6471. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/20303