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In the presentation by Shima Fuyan from the University of Zanzia, the focus is on improving human detection in low-resolution images by retraining YOLO version 3. The presentation is divided into four parts: an introduction, a proposed method, experimental results, and a conclusion. Human detection plays a crucial role in various applications like human identification, activity recognition, and surveillance. Challenges include different poses, image sizes, body structures, camera angles, complex backgrounds, and low resolution.
