Tracking People by Predicting 3D Appearance, Location & Pose

Code repository for the paper “Tracking People by Predicting 3D Appearance, Location & Pose”.
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik.

This code repository provides a code implementation for our paper PHALP, with installation, preparing datasets, and evaluating on datasets, and a demo code to run on any youtube videos.

Abstract : In this paper, we present an approach for tracking people in monocular videos, by predicting their future 3D representations. To achieve this, we first lift people to 3D from a single frame in a robust way. This lifting