US 12,205,301 B2
Ship image trajectory tracking and prediction method based on ship heading recognition
Xinqiang Chen, Shanghai (CN); Hao Wu, Shanghai (CN); Yongsheng Yang, Shanghai (CN); Bing Wu, Shanghai (CN); Yang Sun, Shanghai (CN); Huafeng Wu, Shanghai (CN); Wei Liu, Shanghai (CN); and Jiangfeng Xian, Shanghai (CN)
Assigned to Shanghai Maritime University, Shanghai (CN); and Wuhan University of Technology, Wuhan (CN)
Filed by Shanghai Maritime University, Shanghai (CN); and Wuhan University of Technology, Wuhan (CN)
Filed on Aug. 12, 2022, as Appl. No. 17/886,901.
Claims priority of application No. 202210789127.0 (CN), filed on Jul. 6, 2022.
Prior Publication US 2024/0013402 A1, Jan. 11, 2024
Int. Cl. G06T 7/20 (2017.01); G01C 21/20 (2006.01)
CPC G06T 7/20 (2013.01) [G01C 21/203 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30241 (2013.01)] 5 Claims
OG exemplary drawing
 
1. A ship image trajectory tracking and prediction method based on ship heading recognition, comprising:
S1: obtaining a ship image data set, and preprocessing the ship image data set to obtain a preprocessed data set;
S2: inputting the preprocessed data set into a rotating ship detection network for training to obtain a trained rotating ship detection network, collecting a ship navigation video, and inputting the ship navigation video into the trained rotating ship detection network to obtain a ship detection result;
S3: inputting the ship detection result into a rotating ship tracking network, and tracking a target ship, so as to obtain historical trajectory and ship heading information of the target ship; and
S4: inputting the historical trajectory and the ship heading information of the target ship into a ship trajectory and ship heading prediction network, and predicting the navigation trajectory and ship heading of sea ships.