Official implementation of Monocular Quasi-Dense 3D Object Tracking
qd-3dt
Monocular Quasi-Dense 3D Object Tracking (QD-3DT) is an online framework detects and tracks objects in 3D using quasi-dense object proposals from 2D images.
Monocular Quasi-Dense 3D Object Tracking,
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun,
arXiv technical report (arXiv 2103.07351)
Project Website (QD-3DT)
@article{Hu2021QD3DT,
author = {Hu, Hou-Ning and Yang, Yung-Hsu and Fischer, Tobias and Yu, Fisher and Darrell, Trevor and Sun, Min},
title = {Monocular Quasi-Dense 3D Object Tracking},
journal = {ArXiv:2103.07351},
year = {2021}
}
Abstract
A reliable and accurate 3D tracking framework is essential for predicting future locations of surrounding objects and planning the observer’s actions in numerous applications such as autonomous driving. We propose a framework that can