Paper
1 October 1990 Adaptive multisensor change detection
Richard D. Holben
Author Affiliations +
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.
Richard D. Holben "Adaptive multisensor change detection", Proc. SPIE 1306, Sensor Fusion III, (1 October 1990); https://doi.org/10.1117/12.21633
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image segmentation

Sensors

Image fusion

Image processing

Sensor fusion

Cameras

Infrared imaging

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