| Title | Development of AtoN Real-time Video Surveillance System Based on the AIS Collision Warning |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Wang, Yongtao |
| Conference Name | 2019 5th International Conference on Transportation Information and Safety (ICTIS) |
| Keywords | Aids to Navigation, Aids to Navigation managements, AIS, AIS collision warning, artificial intelligence, AtoN cradle head control, AtoN real-time video surveillance system, autonomous underwater vehicles, Cameras, China, collision avoidance, Guan River, Head, Human Behavior, image fusion, maritime security supervision, maritime surveillance systems, Metrics, object detection, pubcrawl, real-time monitoring, Real-time Systems, Resiliency, robot vision, Streaming media, video signal processing, video surveillance, video surveillance system |
| Abstract | In view of the challenges with Aids to Navigation (AtoN) managements and emergency response, the present study designs and presents an AtoN real-time video surveillance system based on the AIS collision warning. The key technologies regarding with AtoN cradle head control and testing algorithms, video image fusion, system operation and implementation are demonstrated in details. Case study is performed at Guan River (China) to verify the effectiveness of the AtoN real-time video surveillance system for maritime security supervision. The research results indicate that the intellective level of the AtoN maintenance and managements could be significantly improved. The idea of designing modules brings a good flexibility and a high portability for the present surveillance system, therefore provides a guidance for the design of similar maritime surveillance systems. |
| DOI | 10.1109/ICTIS.2019.8883727 |
| Citation Key | wang_development_2019 |
Development of AtoN Real-time Video Surveillance System Based on the AIS Collision Warning