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Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.
custom human activity recognition modules by pose estimation and cascaded inference using sklearn API
WebRTC and ORTC implementation for Python using asyncio
Broadcast your camera's video feed to many peers.
Awesome Crowd Counting
This package focuses on the definition, standardization, and development of workflow for human activity recognition in depth analysis.
빅데이터 연합동아리 BOAZ 12기 ADV Vision 팀 [Fight Detection] 레포지토리입니다.
COCO API - Dataset @ http://cocodataset.org/
Script to search a file in a particular directory and copy that file from that directory to a destination folder
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
DroNet: Efficient convolutional neural network detector for Real-Time UAV applications
A human fighting detector suit for edge devices using Tensorflow Object Detection API
In this repository the events in the classroom like sit, stand, walk and fight are detected and labelled.
This repository is made as a part of ACM month of code, NIT Surat. It contains different algorithms to detect fight from videos like CRNN and POSENET.
New generated dataset for fight detection in surveillance cameras.
Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
国内下载google AVA dataset;download google AVA dataset in China
a HR-based multi-stream CNN descriptor (HR-MSCNN) is formulated to recognize human action
Human Activity Recognition Using Deep Neural Network
We worked on action recognition in search and rescue using drone surveillance. Our aim was to classify a video on help or non-help class. Which can be used during a disaster as at many places people can’t reach to check if there is any person needing help but the drone can search the area and notify the location to the rescue team. The data set we used was UCF 101 dataset(contained 101 different classes over 13k video clips) and Help Non-Help data set which was collected by the drone by one of our mentors. The first which we used was the CNN in which we attempted to classify each video based on a single frame. Also we used Inception V3 which was pretrained on imagenet dataset .(also known as transfer learning) Now instead of just classifying based on CNN model,we used CNN+RNN. Now the features extracted from inception V3,we convert those extracted features into sequences of extracted features and then are passed to LSTM after removing the top classification layer.on which we got 89.74% of accuracy.
Recognizing human activities using Deep Learning
A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
Learn OpenCV : C++ and Python Examples
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.