Pass Classification
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Latest papers with no code
Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks
Our algorithm consists of a CNN-based vehicle detection and tracking step and an LSTM-based maneuver classification step.
Classification of Passes in Football Matches using Spatiotemporal Data
Experimental results show that we are able to produce a classifier with 85. 8% accuracy on classifying passes as Good, OK or Bad, and that the predictor variables computed using complex methods from computational geometry are of moderate importance to the learned classifiers.
