Paper
13 August 1997 Achieving high throughput with COTS multicomputers: infrared search and track case study
Robert F. Cody, Kevin J. Ames
Author Affiliations +
Abstract
Real-time embedded image processing applications are being implemented on commercial multicomputers. The use of programmable signal processing provides increased adaptability to higher performance robust algorithms and flexibility for future modifications. Efficient implementation on these architectures are a technical challenges to the development of cost effective solutions. This paper describes the implementation of a real-time infrared search and track (IRST) algorithm on a commercial off the shelf (COTS) multicomputer. It provides information about problem partitioning onto the processor including designing for scalability to varying numbers of processors. It provides lessons learned about implementation of the algorithm onto the processor including efficiency issues. It discusses portability of software while optimizing the implementation for a specific microprocessor and making use of vendor proprietary algorithm libraries.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert F. Cody and Kevin J. Ames "Achieving high throughput with COTS multicomputers: infrared search and track case study", Proc. SPIE 3061, Infrared Technology and Applications XXIII, (13 August 1997); https://doi.org/10.1117/12.280371
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Cited by 1 scholarly publication.
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KEYWORDS
Infrared search and track

Signal processing

Image processing

Clocks

Digital signal processing

Filtering (signal processing)

Sensors

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