YOLO ROS: Real-Time Object Detection for ROS

Real-time people tracking using a 3D LIDAR

Odin: Pose estimation-based tracking and counting of people in videos

[ROS package] Online Learning for Human Detection in 3D Point Clouds

YOLOv8 re-implementation for human detection using PyTorch

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.

Detects Pedestrians in images using HOG as a feature extractor and SVM for classification

Welcome to the YOLOv8 Human Detection Beginner's Repository – your entry point into the exciting world of object detection! This repository is tailored for beginners, providing a straightforward implementation of YOLOv8 for human detection in images and videos.

Ultra-lightweight human detection. The number of parameters does not correlate to inference speed. For limited use cases, an input image resolution of 64x64 is sufficient. High-level object detection architectures such as YOLO are overkill.

yolov3 tensorflow object detection and report human movements in persian

分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测，总共包含143个onnx模型，有COCO目标检测，人脸检测，密集行人检测的三种检测功能，依然是包含C++和Python两个版本的程序

It is a Pedestrian(Human) Detection which is developed using OpenCV Python

A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737

Autonomous swarm kamikaze drone system for area surveillance and target engagement. Features AI-based target detection, Pixel-to-GPS localization, coordinated swarm task allocation, and collision-safe parallel operations. Built on ArduPilot SITL, ROS, and Gazebo simulation.

Python+YOLOv8-based human/animal/object detection DVR framework with GUI, webUI and Telegram alerts

EU funded Horizon 2020 project

Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.

High performance human detector

Next generation videoconference system

A camera recorder with human detection AI project