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activity_detection

Feature Extraction for Human Activity Detection from RGBD Images

convolutional-pose-machines-tensorflow

cousera-test

Couresera test repository

gazr

3D head pose estimation using monocular vision

gesturerecognizer

This is a gesture recognition system using Kinect camera, ROS and PCL as tools. Our example application allows playing rock paper scissor against the computer.

github-slideshow

A robot powered training repository :robot:

hand-graph-cnn

3D Hand Shape and Pose Estimation from a Single RGB Image

hand3d

Network estimating 3D Handpose from single color images

hand_interaction

Using kinect for hand interaction

handdetection

Hand detection Python and OpenCV

inhandscanningiccv15_reconstruction

Source code for 3d reconstruction for the ICCV'15 paper "3D Object Reconstruction from Hand-Object Interactions"

librealsense

Intel® RealSense™ SDK

libuvc

a cross-platform library for USB video devices

lift_help_predictor

lifting-from-the-deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

meta_learning_pacoh

Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

networkingsamples

Provides sample code for TCP socket programming.

neuro_gesture_kinect

The Neural network based gesture recignition package for Microsoft Kinect

openni_camera

A ROS driver for OpenNI depth (+ RGB) cameras.

peg_in_hole_assembly

Deep reinforcement learning for robotic peg-in-hole assembly task

pymot

Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.

rgbd-pose3d

3D Human Pose Estimation in RGBD Images for Robotic Task Learning

rgbd_launch

Launchfiles for use with depth cameras.

ros_visual

The purpose of this project is to detect and track people in an indoor environment and recognize events regarding their movement using visual information. The visual information used consists of an RGB stream and a depth stream from an ASUS Xtion Pro or Microsoft Kinect.

shlu2019.github.io

skeleton_markers

Track and display skeleton markers using ROS and OpenNI

spencer_people_tracking

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

starter-kit-action-recognition

:seedling: Starter kit for working with the EPIC-Kitchens dataset for action recognition or anticipation

thor

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