Trajectory Prediction Algorithm of Moving Target Based on Markov Chains

摘要

In the field of computer vision, trajectory prediction is one of hottest issues. Based on the study of the existing Markov chains algorithm on the trajectory prediction of the moving target, the predict model had not taken the trajectory of abnormal behavior into account In this paper, the model can re-learn their own adjustment by capturing data of abnormal behavior, and can quickly detect abnormal trajectory behavior, and update the transition probability of prediction model. Simulation results show that the Markov chains model through its own re-learning has highly accuracy in the trajectory prediction.