Shuji OnoNov 19

[New Paper] HitoMi-Cam: A Shape-Agnostic Person Detection Method Using the Spectral Characteristics of Clothing

This method complements CNNs by detecting "clothing" (not shape), ideal for SAR. Runs at 23.2 fps on Raspberry Pi 5.

๐Ÿ“„ Paper: https://doi.org/10.3390/jimaging11110399
๐ŸŽฅ Demo: https://youtu.be/612K0Kn-cKA
#HitoMiCam #ComputerVision #EdgeAI #SAR #ShapeAgnostic #SpectralImaging

Shuji OnoNov 19

[New Paper] HitoMi-Cam: A Shape-Agnostic Person Detection Method Using the Spectral Characteristics of Clothing

This method complements CNNs by detecting "clothing" (not shape), ideal for SAR. Runs at 23.2 fps on Raspberry Pi 5.

๐Ÿ“„ Paper: https://doi.org/10.3390/jimaging11110399
๐ŸŽฅ Demo: https://youtu.be/612K0Kn-cKA
#HitoMiCam #ComputerVision #EdgeAI #SAR #ShapeAgnostic #SpectralImaging

Shuji OnoMay 10, 2025
HitoMi-Cam's new station demo! "Finally out in the city!" ๐Ÿš€
Groundbreaking: We detect humans by clothing's spectrum (not shape!), targeting real-time on Raspberry Pi 5. An unprecedented approach!
To be presented at #SSII2025.
๐ŸŽฅ Video: https://youtu.be/TiI6vtEp6M8?si=DVhajczpP4rYGN3k
๐Ÿ“„ Paper: https://doi.org/10.3390/jimaging11040093
#HitoMiCam #SpectralDetection #HumanDetection #RPi5 #EdgeAI #SSII2025
Real-Time Human Detection by Clothing Spectrum on Raspberry Pi 5: HitoMi-Cam Station Demo

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