Traditional vs. Deep Learning for Background Modeling: A Discussion

Thank you for sharing your insights on the authors' choice of a traditional method over a deep learning framework for background modeling. You raise a valid point about the potential of deep learning, especially given the availability of pre-trained models and the relative ease of obtaining training data for background modeling tasks.

While the authors' concerns about training data limitations and instability in deep learning are understandable in certain contexts like radar signal processing, where data acquisition can be costly and noisy, your suggestion of exploring pre-trained deep learning models for background modeling is intriguing.

A comparative analysis of these pre-trained models against the traditional method employed by the authors would certainly be insightful and contribute valuable findings to the field. It would be fascinating to see how these different approaches perform in terms of accuracy, robustness, and computational efficiency.