Multiple object tracking in camera networks

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Created by Yongheng Zhao from UNIPD.

This repository contians the implementation of a sub-project of Openptrack.

The tracking results

RGB-D camera network setup

Example

Single RGB-D tracker evaluation

Please find more details here: https://youtu.be/Vy8CT4Da2F4

*For the installation, please follow these instructions: https://docs.google.com/document/d/1iagy-zU1cbV92YQI6EJhieM5-09BGrVsVmmz0QjK0XA/edit

If you use the object tracking alogorithm this code, please cite:

[OpenPTrack v1] M. Munaro, A. Horn, R. Illum, J. Burke and R. B. Rusu. OpenPTrack: People Tracking for Heterogeneous Networks of Color-Depth Cameras. In IAS-13 Workshop Proceedings: 1st Intl. Workshop on 3D Robot Perception with Point Cloud Library, pp. 235-247, Padova, Italy, 2014.

[ObjectTracking] Y. Zhao, M. Carraro, M. Munaro and E. Menegatti, Fast Multiple Object Tracking in RGB-D Camera Networks, in Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, IEEE, 2017.

Y. Zhao and E. Menegatti, MS3D: Mean-Shift Object Tracking Boosted by Joint Back Projection of Color and Depth, in International Conference on Intelligent Autonomous Systems. Springer, Cham, 2018.