Trajectories Classification of two different types of ships

Abstract

The classification of various trajectories of different objects is an important investigation technique for predicting the kind of the moving objects. In this thesis, object types including fishing boats, tanker ships, Cattle, Deer and Elk are distinguished based on their trajectories and their features. Polynomial functions are used as an efficient tool to extract these features from the segments of the recorded trajectories of the objects under investigation. The features extracted are fed into subtractive clustering procedure to put the data in a group of clusters. then serve as an input to a neural network based identification algorithm.