YOLO ROS: Real-Time Object Detection for ROS
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Updated
Sep 13, 2023 - C++
YOLO ROS: Real-Time Object Detection for ROS
Real-time people tracking using a 3D LIDAR
[ROS package] Online Learning for Human Detection in 3D Point Clouds
Odin: Pose estimation-based tracking and counting of people in videos
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
EU funded Horizon 2020 project
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
yolov3 tensorflow object detection and report human movements in persian
YOLOv8 re-implementation for human detection using PyTorch
ROS based intelligence gathering drone simulation on Gazebo
A web-app to detect humans in a picture, video, or using webcam.
Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.
Next generation videoconference system
Multi-Agent Search and Rescue Robot in ROS
Depth-Based Region-of-Interest (ROI) Selection
Dataset for "Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"
Module to detect and track humans and return their coordinate position
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