/RealTimeCrimeDetection

Code for Real-Time Surveillance Based Crime Detection for Edge Devices

Primary LanguageJupyter Notebook

Real-Time Surveillance Based Crime Detection for Edge Devices

This repository consists of the code for the paper titled as "Real-Time Surveillance Based Crime Detection for Edge Devices" which has been accepted for presentation at the 15th International Conference for Computer Vision Theory and Applications (VISAPP), Valleta, Malta.

The paper discusses about an efficient real-time deployment of crime detection in surveillance systems. The datasets used are:

Furthermore, this paper adapts and reuses code from Microsoft Research's EdgeML repository.

Authors: Sai Vishwanath Venkatesh, Adithya Prem Anand, Gokul Sahar S, Akshay Ramakrishnan and Vinneth Vijayaraghavan.

Model Architecture

Model Architecture