Survey of Ship Detection in Video Surveillance Based on Shallow Machine Learning

Authors

Zhenbo Bi, 1. School of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, China; ;2. Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province, Zhoushan 316022, China; ;
Shiyou Zhang, 1. School of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, China; ;
Yang Hua, 3. Zhejiang Ocean University Donghai Science and Technology College, Zhoushan 316004, China;
Yuanhong Wu, 1. School of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, China; ;2. Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province, Zhoushan 316022, China; ;

Abstract

Abstract: At present, detection of ship targets in video surveillance based on shallow machine learning methods is still attracting attention in the fields of underwater cultural heritage protection, marine aquaculture, maritime traffic, and port management. This paper provides a review and discussion for this kind of ship detection methods. The ship target detection based on video surveillance is divided into five parts according to the key technologies involved: preprocessing, region of interest extraction, target segmentation, ship feature extraction and ship type recognition. According to different functional modules, the core problems involved in them are pointed out, and the core ideas, advantages and disadvantages of representative algorithms in each kind of problems are elaborated. The existing problems and future prospects of ship detection in video surveillance based on shallow machine learning are discussed.

Recommended Citation

Bi, Zhenbo; Zhang, Shiyou; Hua, Yang; and Wu, Yuanhong (2022) "Survey of Ship Detection in Video Surveillance Based on Shallow Machine Learning," Journal of System Simulation: Vol. 33: Iss. 12, Article 4.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0781
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss12/4

First Page

2792

Revised Date

2021-07-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0781

Last Page

2807

CLC

TP29;TP391.9

Recommended Citation

Bi Zhenbo, Zhang Shiyou, Yang Hua, Wu Yuanhong. Survey of Ship Detection in Video Surveillance Based on Shallow Machine Learning[J]. Journal of System Simulation, 2021, 33(12): 2792-2807.

DOI

10.16182/j.issn1004731x.joss.21-FZ0781