Title :
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
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;
Conference_Titel :
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3601-1
DOI :
10.1109/ADFS.1996.581099
