Help me retouch the following paragraphs with academic styleThank you for your insightful comments on our paper We appreciate your suggestions regarding the use of deep learning frameworks for backgro

We express our gratitude for the insightful commentary provided on our paper. We acknowledge and appreciate the recommendations put forth regarding the utilization of deep learning frameworks in background modelling. While we concur that deep learning algorithms have demonstrated significant potential in various image processing tasks, we have discovered that conventional methods do not contradict deep learning frameworks. For instance, in the publication "BSUV-Net: A Full Convolutional Neural Network for Background Subtraction of Unseen Videos" (Note: neither I nor my colleagues were involved in this publication), Tezcan M O, et al. introduced the BSUV-Net Algorithm for unseen videos based on a full convolutional neural network. In BSUV-Net, two reference frames are employed to characterize the background. One frame represents an Empty "background frame," devoid of individuals or other objects of interest. The other reference frame characterizes recent background, for example, by computing the median of the 100 frames preceding the frame being processed. This implies that the background produced by conventional methods can also be integrated into deep learning frameworks. Therefore, constructing the background using traditional methods is also a meaningful approach