A violence detector using MobileNetV2 pretrained model and image enhancement algorithms and face detection algorithms implemented using Python, including an alert system built using telegram for alerting concerned authorities, and all data stored neatly in cloud firestore. DEMO VIDEO: https://youtu.be/_p3IgezRqwE.

Elevate computer vision capabilities with Python OpenCV Human Activity Recognition. Accurately detect and analyze human actions in real-time.

Sep 2, 2022 · In order to solve this situation, this paper develops an improved machine learning method to identify single and compound features.

Abstract: In this project, we propose a novel method for unusual human activity detection in crowded scenes. Specifically, rather than detecting or segmenting humans, we devised an efficient method, called a motion influence

Human detection & counting in Python - develop an exciting deep learning project. In this project we used HOG and OpenCV to detect and count no of humans in image, video or real-time

Aug 27, 2022 · These are the steps on how to build Real-Time Human Body Detection OpenCV Python With Source Code. Step 1: Import the libraries. Step 2: Create a model which will detect Humans. As discussed earlier, We will use HOGDescriptor with SVM already implemented in OpenCV. Below code will do this work.

This project implements a real time human detection via video or webcam detection using yolov3-tiny algorithm. YOLO is a object detection algorithm which stand for You Only Look Once. I've implemented the algorithm from scratch in Python using pre-trained weights.

Oct 1, 2024 · In this tutorial, we’ll learn to implement human action recognition on videos using a Convolutional Neural Network combined with a Long-Short Term Memory Network. We’ll actually be using two different architectures and approaches in TensorFlow to do this.

based techniques for Human Activity Recognition results in best accuracy. The analysis of dataset by supervised machine learning technique(SMLT) to capture several information‘s like, variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments and analyze the data validation, data cleaning.

Download scientific diagram | Model diagram of the human behavior detection process. from publication: Machine Learning Human Behavior Detection Mechanism Based on Python Architecture | Human...