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- W2039493839 abstract "The feasibility of using low-resolution thermal imagers for home security applications is analyzed, taking low cost as the primary consideration. The smallest possible sensor size and resolution are cho- sen as the operative criteria and derived by simulation, in accordance with the optical constraints of a general home security system and the minimum target feature recognizable using image processing. Low- resolution simulated thermal images were generated by downgrading the high-resolution images captured by an uncooled IR camera, through sampling and modification. Caricatures of human beings and family pets are extracted for recognition using aspect-ratio and neural network meth- ods, which are compared with one another for detection probability. It is demonstrated that highly reliable detection of human beings or pets with a minimal target feature of 838 pixels can be obtained using the neural network method. Also, a fire can be detected early using its temporal size variation and higher temperature. Finally, low-cost fabrication of the proposed low-resolution passive infrared imaging system with an un- cooled FPA sensor utilizing a fully standard application-specific IC CMOS process is also discussed in detail. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)02706-9)" @default.
- W2039493839 created "2016-06-24" @default.
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- W2039493839 date "2000-06-01" @default.
- W2039493839 modified "2023-09-23" @default.
- W2039493839 title "Feasibility study on low-resolution uncooled thermal imagers for home-security applications" @default.
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- W2039493839 doi "https://doi.org/10.1117/1.602514" @default.
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