Deep learning based content moderation from text, audio, video & image input modalities.

Violence Detection using 3D Convolutional Neural Networks

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation

A human violence detection & classification system using recurrent neural networks(RNN).

Surveillance System Against Violence

Realtime Violence Detection with Raspberry-pi

real-time violence detection on video content

빅데이터 연합동아리 BOAZ 12기 ADV Vision 팀 [Fight Detection] 레포지토리입니다.

Deeply Supervised Practical Implementation of Violence Detection from Videos for Maximizing Performance

This project aims at classifying a video into a fight or non-fight video

Explainable Content Moderation performed using CNNs and visualized using Grad-CAM

I3D implemetation in Keras + video preprocessing (rgb and optical flows) to detect violence in videos with weak labels (Weakly Supervised) on XD-Violence dataset (Multi-Label, Multi-class and untrimmed videos) using Keras

Abstract— Violence detection has been investigated extensively in the literature. Recently, IOT based violence video surveillance is an intelligent component integrated in security system of smart buildings. Violence video detector is a specific kind of detection models that should be highly accurate to increase the model’s sensitivity and reduc…

Deep Learning-Based Approach to Detect Violence

Edge deployable spatio-temporal violence detector using transformers

Violence recognition in streaming video using Transfer Learning and MoViNets. The project leverages state-of-the-art deep learning techniques to create an efficient and accurate violence detection system.