Multi-sensor, probabilistic multi-hypothesis tracking

Author

Krieg, Mark L. ; Gray, Douglas A.

Author_Institution

Microwave Radar Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia

fYear

1996

fDate

21-22 Nov 1996

Firstpage

153

Lastpage

158

Abstract

The success of multi-target, multi-sensor tracking is dependent on satisfactorily solving the data association problem. The probabilistic multi-hypothesis tracking (PMHT) algorithm was developed for multi-target tracking and has led to the development of several variations, including the multi-sensor PMHT (msPMHT) algorithm for multi-target, multi-sensor tracking. We present a general multi-sensor PMHT algorithm which estimates the measurement-to-sensor assignments in addition to the target states and measurement-to-target assignments. We compare this algorithm to the PMHT and msPMHT algorithms

Keywords

optical tracking; probability; radar tracking; sensor fusion; target tracking; data association problem; measurement-to-sensor assignments; measurement-to-target assignments; multisensor tracking; multitarget tracking; optical video tracking; probabilistic multiple hypothesis tracking; radar tracking; Australia; Laser radar; Optical filters; Optical noise; Radar measurements; Radar signal processing; Radar tracking; Sensor phenomena and characterization; State estimation; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Fusion Symposium, 1996. ADFS '96., First Australian

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3601-1

Type

conf

DOI

10.1109/ADFS.1996.581099

Filename

581099