G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences

16 Mar 2020Behnaz RezaeiAmirreza FarnooshSarah Ostadabbas

In this paper, we propose a computationally tractable and theoretically supported non-linear low-dimensional generative model to represent real-world data in the presence of noise and sparse outliers. The non-linear low-dimensional manifold discovery of data is done through describing a joint distribution over observations, and their low-dimensional representations (i.e. manifold coordinates)... (read more)

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