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This paper studies the optimal placement of pyroelectric infrared (PIR) sensors in developing the infrared motion sensing system for human motion localization. In particular, we explore the use of genetic algorithm (GA) in optimizing both the deployment and the modulated field of view (FOV) of the PIR sensors for improving the localization performance. Two criteria, the average and maximum localization...
The optimal pyroelectric infrared (PIR) sensor arrays placement similar to optimal multi-camera placement in computer vision (CV), aims to maximize the coverage and spatial resolution and minimize the cost. In this paper, we propose an implementation of a genetic algorithm (GA) based optimization approach for the design of PIR sensing model which is designed empirically in the literature. The optimization...
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