Abstract
Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability, higher precision of target positioning and higher possibility of multiple-target visual tracking. With vast ocean and sea surfaces, it is a challenge using multiple cameras to work together to achieve specific target tracking and detection, and it will have a wide range of application prospects. According to the characteristics of sea-surface moving targets and visual images, this study proposed and designed a sea-surface moving-target visual detection and tracking system with a multi-camera cooperation approach. In the system, the technologies of moving target detection, tracking, and matching are studied, and the strategy to coordinate multi-camera cooperation is proposed. The comprehensive experiments of cooperative sea-surface moving-target visual tracking show that the method used in this study has improved performance compared with contrapositive methods, and the proposed system can meet the needs of multi-camera cooperative visual tracking of moving targets on the sea surface.
Highlights
In recent years, with the continuous progress of computer and image processing technology, computer vision has been widely used in intelligent monitoring, visual navigation, industrial vision systems, and other fields in which visual detection and tracking are valued by researchers [1]
To solve the above difficulties, this paper studies the related technologies based on multi-dimension visual information, and a multi-camera cooperative visual tracking system for sea-surface moving targets is designed
A visual detection and tracking system for sea-surface moving targets based on multi-camera cooperation was proposed and designed, and key technologies including moving-target visual detection, tracking, matching among multiple cameras, and coordination strategies are studied, respectively
Summary
With the continuous progress of computer and image processing technology, computer vision has been widely used in intelligent monitoring, visual navigation, industrial vision systems, and other fields in which visual detection and tracking are valued by researchers [1]. Visual tracking systems have broad application prospects in the field of artificial intelligence such as multi-robot cooperation, video surveillance, video-based human–computer interaction, and unmanned driving. This paper mainly studies the tracking and detection of moving targets on the sea surface. To solve the above difficulties, this paper studies the related technologies based on multi-dimension visual information, and a multi-camera cooperative visual tracking system for sea-surface moving targets is designed. The system can be deployed on a variety of mobile carriers, such as unmanned surface vehicles (USVs), and realize the autonomous tracking and monitoring of sea-surface targets by multi-USV [3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
