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trajectory prediction approach via hidden Markov models. IEEE Trans Intell Transport Syst
16(1):284–296
5. Kalman RE (1960) A new approach to linear filtering and prediction problems. J Basic Eng
82(1):35
6. Li H, Li Y, Porikli F (2015) DeepTrack: learning discriminative feature representations
online for robust visual tracking. IEEE Trans Image Process 25(4):1834–1848
7. Wang N, Yeung DY (2013) Learning a deep compact image representation for visual
tracking. In: International conference on neural information processing systems. Curran
Associates Inc
8. Wang L, Zhang L, Yi Z (2017) Trajectory predictor by using recurrent neural networks in
visual tracking. IEEE Trans Cyber 99: 1–12
9. Quan B, Yang B, Hu K et al (2018) Prediction model of ship trajectory based on LSTM.
Comput Sci 45(S2): 136–141
10. Kingma DP, Ba J (2014) Adam: a method for stochastic optimization. Comput Sci
11. Kim KI, Lee KM (2017) Pre-processing ship trajectory data for applying artificial neural
network in harbour area. In: European conference on electrical engineering and computer
science (EECS), Bern, Switzerland, pp 147–149
12. Piotr B (2017) The ship movement trajectory prediction algorithm using navigational data
fusion. Sensors 17(6):1432–1444
342
J. Jin et al.