Maritime traffic situation awareness analysis via high-fidelity ship imaging trajectory

Situation awareness provides crucial yet instant information to maritime traffic participants, and significant attentions are paid to implement traffic situation awareness task via various maritime data source (e.g., automatic identification system, maritime surveillance video, radar, etc.). The stu...

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Bibliographic Details
Published inMultimedia tools and applications Vol. 83; no. 16; pp. 48907 - 48923
Main Authors Chen, Xinqiang, Zheng, Jinbiao, Li, Chaofeng, Wu, Bing, Wu, Huafeng, Montewka, Jakub
Format Journal Article
LanguageEnglish
Published New York Springer US 01.05.2024
Springer Nature B.V
Subjects
Computer Communication Networks
Computer Science
Curve fitting
Data Structures and Information Theory
Fog
High resolution
Identification systems
Image resolution
Kinematics
Literature reviews
Multimedia
Multimedia Information Systems
Sampling methods
Situational awareness
Special Purpose and Application-Based Systems
Surveillance
Surveillance radar
Task analysis
Traffic information
Video
Ship trajectory
Fog removal
Trajectory outlier removal
Maritime traffic situation awareness
Smart ship
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Summary:Situation awareness provides crucial yet instant information to maritime traffic participants, and significant attentions are paid to implement traffic situation awareness task via various maritime data source (e.g., automatic identification system, maritime surveillance video, radar, etc.). The study aims to analyze traffic situation with the support of ship imaging trajectory. First, we employ the dark channel prior model to remove fog in maritime videos to obtain high-resolution ship images (i.e., fog-free maritime images). Second, we track ships in each maritime image with the scale adaptive kernel correlation filter (SAMF), and thus obtain raw ship imaging trajectories. Third, we cleanse abnormal ship trajectory samples via curve-fitting and down sampling method, and thus further maritime traffic situation analysis is implemented. We analyze maritime traffic situation in three typical videos (i.e., three typical maritime traffic scenarios), and experimental results suggested that the proposed framework can extract high-resolution ship imaging trajectory for fulfilling the task of accurate maritime traffic situation awareness.
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ISSN:1573-7721
1380-7501
1573-7721
DOI:10.1007/s11042-023-17456-6