Learning to Track: Online Multi-Object Tracking by Decision Making

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's …

Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

Single Image 3D Interpreter Network

Infinitesimal Plane-based Pose Estimation (IPPE): A very fast method to compute a camera's pose from a view of a planar object

Code for NeurIPS 2018: Cooperative Holisctic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

Gaussian Process Model Dynamic System Identification Toolbox for Matlab

PSO-Clustering algorithm [Matlab code]

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.