Using Markerless Motion Capture and Principal Component Analysis to Classify BMX Freestyle Tricks by Nates, Eva

“…This thesis presents a novel Bicycle Motocross (BMX) Freestyle (FS) trick classification technique developed for the Australian Cycling Team. The first step is tracking six key points on the athlete and their bike using DeepLabCut, an opensource markerless motion capture software. …”
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