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

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

EU funded Horizon 2020 project

High performance human detector

Next generation videoconference system

Autonomous kamikaze drone swarm 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.

A camera recorder with human detection AI project

A web-app to detect humans in a picture, video, or using webcam.

No description provided.

Depth-Based Region-of-Interest (ROI) Selection

Multi-Agent Search and Rescue Robot in ROS

Dataset for "Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"

Real-time human detection and tracking camera using YOLOV5 and Arduino

This repository is the implementation of an automatic human hazard detection model based on a human posture. Collaborated with SNU HIS LAB.

Suite for human/nonhuman binary classification problem using MOG, CNN with VIRAT2.0-based dataset

YOLOv8 trained on CrowdHuman dataset and supports ONNX Runtime Inference for Image, Video and Webcam

High-performance surveillance video human detector. Auto-detect people in videos, extract & merge clips. Multi-process pipeline with FFmpeg multi-threaded decoding. Supports Xiaomi, Hikvision, Dahua cameras. 高性能监控视频人形检测工具。自动检测视频中的人物，提取并合并片段。

Java library for human skin detection in digital images.