Harnessing the Power of Squeeze and Excitation Modules-Repository

This paper introduces an innovative segmentation model that extends the U-Net architecture with a Squeeze and Excitation (SE) mechanism, designed to enhance the detection of moving objects in video streams. By integrating this model into the ViBe motion detection algorithm, detection accuracy is significantly improved. The approach also leverages adaptive techniques to increase the robustness of the segmentation model in complex scenarios, without requiring extensive manual parameter tuning. The results indicate that the method provides a promising direction for real-time motion detection systems that require high precision and adaptability to varying conditions.