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In the presentation, Shima Fuyan from the University of Zanzia discusses her paper on improving human detection in low-resolution images using retrained YOLO version 3. The presentation is divided into four parts: an introduction, a proposed method, experimental results, and a conclusion. Human detection is crucial for various applications, such as human identification, activity recognition, and surveillance. However, challenges like different poses, image sizes, body structures, camera angles, intricate backgrounds, and low resolution images pose obstacles to accurate detection.
