Optimal Crop-Out for Photographing People during Sporting Activities

Anastasiia Lebedenko

Supervisor(s): prof. Ing. Adam Herout Ph.D.

Brno University of Technology


Abstract: This paper presents a solution for processing footage featuring human subjects to generate videos of optimal dimensions, focused on the individual, and eliminating redundant background. Utilizing computer vision models, the program identifies and tracks human positions in the input videos, then applies a specialized cropping algorithm to generate output frames. The solution offers customization options for aspect ratio, crop mode, and graphic overlay in the output video. Thus, it eliminates the necessity for capturing multiple videos to meet varied technical or aesthetic requirements, allowing the creation of diverse outputs from a single high-resolution video using predefined cropping parameters.
Keywords: Computer Vision, Human-Computer Interaction, Image Processing
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Year: 2024