Inland river water area abnormal behavior ship automatic identification system and method

Abstract

The invention discloses an inland river water area abnormal behavior ship automatic identification system and method; the method comprises the following steps: obtaining inland river water area ship navigation AIS message information, hydrology meteorology department environment information, CCTV video images and depth of field images in real time; parsing ship abnormal behavior mode types, and building a ship abnormal behavior sample database; building a depth learning network model to parse ship behaviors, thus obtaining ship abnormal behavior mode and GPS positioning information; detecting the ship in the CCTV video image, using the depth of field image to obtain the ship three dimension space information, and thus obtaining the ship video positioning information; fusing the GPS positioning information, the video positioning information, the ship abnormal behavior mode and ship detected characteristics, carrying out ship target association, and automatically identifying the abnormal behavior ship in the CCTV video. The method and system can effectively solve the problems that the abnormal behavior ship cannot be easily identified in the CCTV video; the method and system are high in identification rate, can provide safety warning for waterborne traffic, thus further improving the maritime affair supervision intelligent level.

Description

technical field [0001] The invention belongs to the technical field of inland river maritime intelligent supervision, and in particular relates to an automatic identification system and method for ships with abnormal behavior in inland waters. Background technique [0002] With the rapid development of my country's Yangtze River Economic Belt, the traffic flow density in inland waters is increasing, the navigation environment is becoming more and more complex, and the pressure on maritime supervision is also increasing. In order to reduce the risk of navigation of ships in inland waters, the Yangtze River Maritime Safety Administration implemented the concept of "e-Navigation (e-Navigation)" and organized the development of an electronic cruise system, which was promoted and implemented across the board in 2012. The system uses geographic information system as a platform, and obtains water traffic data through VTS, AIS, GPS, video surveillance system (Closed Circuit Televisi...

AI Technical Summary

Problems solved by technology

At present, most of the research is using artificial engineering design data mining methods such as clustering, association rules, and decision trees, and the understanding of ship behavior is still at a low level.

Based on big data technology such as deep learning, multi-level and deep understanding of ship behavior characteristics is a hot spot and direction of water intelligent transportation engineering research, but there are few research results

On the other hand, the existing CCTV-based video surveillance is indistinguishable from the detection, identification and tracking of ships. It is difficult to identify abnormal behavior ships by relying solely on CCTV video analysis technology, and the intelligent supervision has not been effectively developed.

Images