Pose Estimation
Showing 27 of 27 projects
WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without cameras.
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A Python package for evaluating and comparing odometry and SLAM algorithm trajectories with support for multiple formats and metrics.
A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.
A curated list of resources for action recognition, video understanding, object detection, and pose estimation in computer vision.
A real-time monocular SLAM system that creates large-scale semi-dense maps using a fully direct approach without feature extraction.
A library for building high-performance custom human pose estimation applications with real-time inference and flexible model development.
A deep learning system for detecting known objects and estimating their 6-DoF pose from RGB images.
A CVPR 2018 algorithm for efficient multi-person pose estimation and tracking in videos, ranking first in the ICCV 2017 PoseTrack challenge.
A modular ROS package for 3D/6D robot localization and point cloud registration using PCL, with dynamic map updates via OctoMap.
An open-source visual-inertial odometry system that estimates camera motion and sparse 3D maps from camera and IMU data.
Monocular 3D object detection and SLAM system that detects and tracks cuboids to estimate camera and object poses.
Official PyTorch implementation for joint monocular 3D vehicle detection and tracking from ICCV 2019.
A dense visual odometry and SLAM system for RGB-D cameras that estimates camera motion from consecutive depth images.
A ROS-based calibration tool for estimating extrinsic poses of lidar, radar, and camera sensor setups.
A ROS-based object detection and pose estimation library for 2D and 3D applications using OpenCV.
A 3D vision library for monocular and stereo 3D human detection, social distancing, and body orientation estimation from 2D keypoints.
A ROS wrapper for the AprilTag 3 visual fiducial detector, enabling marker-based pose estimation in robotics applications.
A neural network for real-time 6D object pose tracking in video using RGB-D data, trained only on synthetic images.
A ROS 2 node for detecting AprilTag fiducial markers in camera images and publishing their poses and metadata.
A real-time fiducial tag system for LiDAR point clouds, robust to lighting and compatible with visual markers like AprilTags.
A real-time object-level reconstruction system for 6D pose estimation using volumetric fusion and multi-object reasoning.
Real-time webcam motion tracking avatar web application that animates virtual personas using body gestures and facial expressions.
A ROS wrapper for the NCNN neural inference framework, enabling real-time neural network inference on robotic systems.
Detects humans in images and estimates their poses by identifying body parts and connecting them with pose lines.
A Blazor library that provides easy access to ML5.js machine learning models via JavaScript Interop.
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