songincv / gmphd-gmma

The GMPHD filter based Online Multiple Object Tracker using Group Management and Relative Motion Analysis

GMPHD-GMMA

The GMPHD filter based Online Multiple Object Tracker using Group Management and Relative Motion Analysis

Introduction

This repository includes an implementation of GMPHD-GMMA

in Visual C++ using Microsoft Visual Studio 2015 on Windows 10 x64.

Libraries

OpenCV 3.4.1 and boost 1.61.0 (Windows Binaries) were used to implement the proposed GMPHD-GMMA tracker.

User guide

We are working on it

Input

Image Sequence & Detection Response

Output

Tracking Results Files

References

[1] Ba-Ngu Vo and Wing-Kin Ma, "The Gaussian Mixture Probability Hypothesis Density Filter," IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4091–4104, Oct. 2006. [paper]

[2] Young-min Song and Moong Jeon, "Online Multiple Object Tracking with the Hierarchically Adopted GM-PHD Filter Using Motion and Appearance," in Proc. IEEE Int. Conf. Consum. Electron.-Asia (ICCE-Asia), pp. 1--4, Oct. 2016. [paper]

[3] Young-min Song, Young-chul Yoon, Kwangjin Yoon, and Moongu Jeon, "Online and Real-Time Tracking with the GM-PHD Filter using Group Management and Relative Motion Analysis," in Proc. IEEE Int. Workshop Traffic Street Surveill. Safety Secur. (AVSS), Nov. 2018. [paper]

Citation [paper]

\bibitem{gmma} Y. Song, Y-C. Yoon, K. Yoon, and M. Jeon, 
``Online and real-time tracking with the GMPHD Filter using group management and relative motion analysis,'' 
in Proc. IEEE Int. Workshop Traffic Street Surveill. Safety Secur. (AVSS), pp. 1-6, Nov. 2018.