violence-detection
There are 11 repositories under violence-detection topic.
fcakyon / content-moderation-deep-learning
Deep learning based content moderation from text, audio, video & image input modalities.
- Language:Jupyter Notebook 122
eazydammy / violence-detection-with-C3D
Violence Detection using 3D Convolutional Neural Networks
Language:Python 59sukhitashvili / violence-detection
Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more
Language:Jupyter Notebook 41damien911224 / theWorldInSafety
Surveillance System Against Violence
Language:C++ 40TheAnkurGoswami / Human-Violence-Detection
A human violence detection & classification system using recurrent neural networks(RNN).
Language:Python 38atmguille / Violence-Detection-With-Human-Skeletons
Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation
Language:Jupyter Notebook 33- Language:Jupyter Notebook 31
projectRVD / Real-Time-Violence-Detection-with-raspberry-pi
Realtime Violence Detection with Raspberry-pi
Language:Jupyter Notebook 18- Language:Jupyter Notebook 11
minsuk-sung / boaz-adv-project
빅데이터 연합동아리 BOAZ 12기 ADV Vision 팀 [Fight Detection] 레포지토리입니다.
Language:Python 9Group606-DL / Warnify-VisualModel
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
Language:Jupyter Notebook 7jenil123 / Violence-Detection-in-Videos
This project aims at classifying a video into a fight or non-fight video
Language:Jupyter Notebook 7null-void-Q / real-time-violence-detection
real-time violence detection on video content
Language:Python 7shreyash2610 / Convolutional-Long-Short-Term-Memory-based-IOT-node-for-Violence-Detection
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 reduce the false alarm rate. This paper proposes a novel architecture of ConvLSTM model that can run on low-cost Internet of Things (IOT) device such as raspberry pi board. The paper utilized convolutional neural networks (CNNs) to learn spatial features from video’s frames that were applied to Long Short- Term Memory (LSTM) for video classification into violence/non-violence classes. A complex dataset including two public datasets: RWF-2000 and RLVS-2000 was used for model training and evaluation. The challenging video content includes crowds and chaos, small object at far distance, low resolution, and transient action. Additionally, the videos were captured in various environments such as street, prison, and schools with several human actions such as playing football, basketball, tennis, swimming and eating. The experimental results show high performance of the proposed violence detection model in terms of average metrics having an accuracy of 73.35 %, recall of 76.90 %, precision of 72.53 %, F1 score of 74.01 %, false negative rate of 23.10 %, false positive rate of 30.20 %, and AUC of 82.0 %.
Language:Jupyter Notebook 7Ashwath0102 / Violence-Detection-and-Categorization
Deeply Supervised Practical Implementation of Violence Detection from Videos for Maximizing Performance
Language:Jupyter Notebook 5mon95 / explainable-content-moderation
Explainable Content Moderation performed using CNNs and visualized using Grad-CAM
Language:Jupyter Notebook 5- Language:Python 3
joyeetadey / Violence-Detection-From-Videos
realtime violence detection from videos using cnn-lstm model
Language:Jupyter Notebook 3ktrzorion / Comparative-Analysis-of-ML-Models-for-Violence-Detection
This project focuses on the comparative analysis of machine learning models for the task of violence detection in images or videos. Violence detection is a crucial application with various real-world use cases, including surveillance, content moderation, and public safety.
Language:Jupyter Notebook 3siddhu1919 / Realtime-Violence-Detection_Using-DeepLearning-OpenCV-Streamlit
Realtime Violence Detection WebApp - DL | OPENCV | STREAMLIT 🌈❤️
Language:Python 3WilliamSMendes / violence-weapon_detection
Two neural networks to detect weapons and violence in videos
Language:Jupyter Notebook 3- Language:Python 2
mianzg / victim_counts
Code repository for the EACL 2023 long paper Extracting Victim Counts from Text
Language:Python 2Yosi2020 / Violence-detcetion-Ju
This project is done at Jimma University in 2021EC for our mini/semester project. As we know now a day the violence is occurring in Ethiopia in different areas, due to this reason, we try to solve our community and government problems using artificial intelligence (AI) using both Fine-tuning using VGG-16, motion detection using Cnn+BiLstm, and using VGG-16 to differentiate the accuracy and to get the best solution
Language:Jupyter Notebook 2Aakkash24 / AiVision
AiVision is an AI based software designed to automate the process of manually monitoring the surveillance system, detects threats and alerts the concerned authorities.
Language:Python 1brad-cannell / detect_fu_interviews_public
Public repository for the DETECT follow-up interviews.
Language:Python 1Nirob-0812 / Violence-Detection
Deep Learning-Based Approach to Detect Violence
Language:Jupyter Notebook 1S-JZ / CFEngage
A violence detection module that can inform authorities about the details of individuals present at the site of the incident using face recognition.
Language:CSS 1TahaTabatabaei / Real-Time-Violence-Detection-in-Video-
Violence Detection with LSTM and CNN
Language:Jupyter Notebook 1levyidan1 / CCTV_Violence_Detection
CCTV Violence Detection System for Children's Hospitals
Language:Python 0matheusriale / Brazil_Suicide_Stats_Analysis
Dashboard regarding suicide cases in brazil, made with panel and hvplot.
Language:Jupyter Notebook 0matteo-giri / bachelor-degree-thesis
Thesis name: Comparative evaluation of deep neural networks for automatic detection of violence scenes within videos
0belisards / slides-bert-fact-checking
Slides about my research at the Oxford Internet Institute.
Language:JavaScript
