BgSubNet: Robust Semisupervised Background Subtraction in Realistic Scenes
BgSubNet: Robust Semisupervised Background Subtraction in Realistic Scenes is a scholarly work, published in 2024 in ''IEEE Sensors Journal''. The main subjects of the publication include stereopsis, image, pixel, inference, artificial intelligence, identification, scale, feature, Multiple object tracking, generalization, pattern recognition, Foreground detection, field, computer science, feature engineering, deep learning, computer vision, exploit, and domain. Hence, the authors' work proposes an analysis regarding the generalization capabilities of deep BgS, particularly by their binary constraints of pixel feature representations.