Name: John D. Long
Type: User
Company: Qwake Technologies
Bio: I bring together neuroscience and computer vision to create useful technologies. Though, some of my projects are just for fun or intellectual curiosity.
Location: New York, NY, USA
Blog: www.qwake.tech
John D. Long's Projects
Amazon Kinesis Video Streams Producer SDK for C++ is for developers to install and customize for their connected camera and other devices to securely stream video, audio, and time-encoded data to Kinesis Video Streams.
Git Tutorial
This code details the behavior classification system I developed in the laboratory of Dr. Gyorgy Buzsaki while at the New York University Langone Medical Center.
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Direct Sparse Odometry
Dense Visual Odometry and SLAM
C++ multivariate normal variable sampler using Eigen Library
Reconstructed fork of FLIR Boson SDK
Barnes-Hut OpenCL GPU N-body simulation.
RTSP server based on GStreamer
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Unified streaming drivers and utilities for codecs, cameras, and displays including gstreamer, V4L2, GigE, CUDA, OpenGL, and others.
The Kalibr visual-inertial calibration toolbox
Implements the methods in "A Statistical Description of Neural Ensemble Dynamics" by Long and Carmena in Frontiers in Computational Neuroscience 2011
This repo uses the Kinect2 to capture human skeleton data. This acquisition framework was developed for analyzing posture and improvements due to physical therapy.
Analysis and figures
Evaluation of "Least-Squares Fitting of Two 3-D Point Sets" by Arun, Huang, and Blostein 1987
LieAlgebra routines for SO3 and SL3 and sample applications
LSD-SLAM
This code details the markerless motion capture system I developed in the laboratory of Dr. Gyorgy Buzsaki in the New York University Langone Medical Center.
Sample implementation of the MotionMapper behavioral analysis algorithms
currently working AWS KVS on TX1 Ubuntu 16.04
cuda gpu programming
Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
OpenGL ES 3.0 Programming Guide Sample Code
OpenVSLAM: A Versatile Visual SLAM Framework
OpenVSLAM Fork for LP-Research