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This paper presents a method using low-resolution infrared (IR) array sensors combined with deep learning techniques to detect and localize people indoors, achieving high accuracy rates. The approach utilizes sensors with resolutions of 32x24, 16x12, and 8x6 pixels, employing super resolution and denoising techniques to enhance image quality for effective classification. The results indicate that the proposed method can operate on low-end devices in real-time, making it a promising solution for monitoring e

Author

orkayyildizoglu

Language

EN