Secure Moving Object Detection in Compressed Video Using Attentions

This research presents a method for detecting moving objects in encrypted video without decrypting it, protecting privacy when video processing is done in the cloud. The approach uses selective encryption (encrypting only certain parts of compressed video) and extracts motion information from encrypted video data, then applies deep learning with attention mechanisms (a technique that helps the AI focus on important regions) to identify moving objects even with incomplete information.