A deep convolutional neural network for video sequence background subtraction

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Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors (2019, methodology): “…the mixtures of Gaussians (MoG) method (Stauffer and Grimson, 2000), statistical background modeling (Wang et al, 2012) and convolutional neural network deep learning method (Sakkos et al., 2017; Babaee et al., 2018) cannot be used since the LiDAR data are point clouds instead of pixel information.”
Sensor-based and vision-based human activity recognition: A comprehensive survey (2020, methodology): “Back-ground construction-based methods ﬁrst construct the background information, and then objects of interest are identiﬁed by analyzing the difference between the most recent frame and the extracted background [151] .”