1. Privacy-Preserving Infrared Remote Sensing System for Human Presence Detection
- Author
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Dong, Yuxuan, Li, Song, Zhai, Yufei, Chen, Zhuoyu, An, Fengwei, and Wang, Min
- Abstract
The infrared (IR) remote sensing system comprised of a fluorescence-based thermal detector and image processing algorithm is proposed in this article. Instead of column readout architectures for integrated circuits for microbolometers, the fluorescent IR detector governed by IR-to-visible conversion can generate the thermal image directly, which can be easily processed by the back-end visible image sensor. Such architecture allows separate modulation of thermal conversion and signal processing. To improve the detectivity of the system, image processing algorithms are proposed to achieve robust quasi-real-time (QRT) human detection. Adjustable thresholds and edge enhance operators are combined to extract human candidate regions, which are compatible with commercial FPGA. The experimental results indicate that the noise intensity in the subtracted thermal image has been reduced by 98% compared to the nonlocal means method or bilateral method. A 5.8-fold improvement in terms of signal-to-noise ratio (SNR) is exhibited in long-wavelength human radiation. The detectivity of the proposed detector was improved from
$5.06\times 10^{6}$ $4.33\times 10^{8}$ $\cdot $ $^{1/2}$ $1360\times 1024$ - Published
- 2024
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