Optimizing motion detection performance: Harnessing the power of squeeze and excitation modules
by Jabulani Brown Mpofu, Chenglong Li, Xinyan Gao, Xinxin Su
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, we have significantly improved detection accuracy and reduced false positive rates. Our approach leverages adaptive techniques to increase the robustness of the segmentation model in complex scenarios... Читать дальше...