Paper
25 August 1992 Design and evaluation of multiple hypothesis tracking for infrared surveillance systems
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Abstract
This paper describes an overall methodology for the application of a multiple hypothesis tracking (MHT) algorithm to the IR surveillance system problem of tracking dim targets in a heavy clutter or false alarm background. First, It discusses the manner in which the detection and tracking systems are jointly designed to optimize performance. Next, it presents approximate methods that can conveniently be used for preliminary system design and performance prediction. Finally, it discusses the use of a detailed Monte Carlo simulation for final system evaluation and presents results illustrating the proposed methods and comparing predicted and simulation performance.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel S. Blackman, Robert J. Dempster, and Ted J. Broida "Design and evaluation of multiple hypothesis tracking for infrared surveillance systems", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139394
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Cited by 1 scholarly publication.
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KEYWORDS
Monte Carlo methods

Signal processing

Infrared imaging

Signal to noise ratio

Surveillance systems

Data processing

Target detection

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