Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method
Yuan Enze, Yasuyuki Miura · 2020
We investigate the frame subtraction method in the research of the security surveillance system for old people by artificial intelligence using deep neural networks. The results in low-illumination images become smaller when the conventional inter-frame differencing method is applied. Therefore, we propose an optimal method of inter-frame differencing in various illuminance environments. The accuracy of inter-frame differencing improves when the proposed method using contour processing is applied.