AI Swimmer Tracking
Blog post from Roboflow
The text discusses the development of an automated system for monitoring swimmers using computer vision technology, specifically through the Roboflow platform. This system aims to replace the traditional manual video review process, which is labor-intensive, by implementing a high-speed RF-DETR detector combined with the ByteTrack tracking algorithm to maintain consistent swimmer identification across video frames. The process involves sourcing a suitable swimmer dataset, preparing and labeling data, training the model, configuring the data split for training, and applying image preprocessing techniques to enhance detection accuracy even under variable lighting and water conditions. The workflow is constructed within Roboflow Workflows, utilizing blocks for detection, tracking, and visualization to create a comprehensive video output that includes bounding boxes, unique track IDs, and movement trails of swimmers. This setup provides a reliable method for collecting performance data, aiding coaches and analysts in understanding athlete performance with greater precision and consistency.