Share Email Print

Proceedings Paper

Hybrid tracking algorithm using MHT and PMHT
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Since the early 1990s, significant research has been done on a relatively new algorithm called the Probabilistic Multi-Hypothesis Tracker (PMHT). The majority of this research has concluded that there are a few weaknesses with this approach to tracking targets in the presence of clutter. First, the number of targets that are being tracked needs to be known a priori. Second, in order for the algorithm to operate properly, a very good initiation must be performed. Without a very close initiation, the PMHT usually fails to lock on to the target correctly. To address both of these issues, a hybrid approach is proposed. This hybrid approach will use a Multi-Hypothesis Tracking (MHT) algorithm to initiate new tracks and to continue tracking them until a track is stable. Then it will hand these tracks off to the PMHT to maintain. The MHT is very good at initiating new tracks, and the PMHT is best at maintaining multiple tracks because the algorithm's complexity with tracking additional targets grows linearly as opposed to exponentially.

Paper Details

Date Published: 7 August 2002
PDF: 10 pages
Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); doi: 10.1117/12.478502
Show Author Affiliations
Darin T. Dunham, Independent Contractor (United States)
Robert G. Hutchins, Naval Postgraduate School (United States)

Published in SPIE Proceedings Vol. 4728:
Signal and Data Processing of Small Targets 2002
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?