Paper
1 October 1990 Practical issues in multisensor target recognition
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Abstract
This paper describes an approach for intruder detection by a remote surveillance system. Emphasis is placed on the development of multispectral vision techniques for the extraction of information from a noisy and cluttered environment. This approach uses adaptive detection for operation under changing illumination and thermal environments. The system is initialized with an operator-guided segmentation to partition the scene into regions of similar noise characteristics and processing priorities. Images from a color TV and a FLIR are registered electronically and a common segmentation is used for both. Detection processing in corresponding regions of the two sensors' images are closely coupled. A system testbed is described and several processing sequences are presented which illustrate the approach.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert C. Harney "Practical issues in multisensor target recognition", Proc. SPIE 1306, Sensor Fusion III, (1 October 1990); https://doi.org/10.1117/12.21626
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Target recognition

Sensors

Feature extraction

Sensor fusion

Automatic target recognition

Pattern recognition

Reflectivity

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