Feature-aware open set multi-model for trajectory classification in mobile edge devices

Abstract

One example method includes training an event predictor, of a machine learning model, wherein the training includes training an event predictor of the machine learning model, and training open set trajectory classifier, of the machine learning model. After the event predictor is trained, the event predictor is operable to receive an unknown trajectory class and predict an event class for the unknown trajectory class. Further, after the open set trajectory classifier is trained, the open set trajectory classifier is operable to receive an unknown trajectory and classify the unknown trajectory with a predicted trajectory classification. Finally, during training, the output of the open-set trajectory classifier may be used as an input to the event predictor.