Video monitoring and analyzing method for maritime affairs based on artificial intelligence

Abstract

The invention discloses a video monitoring and analyzing method for maritime affairs based on artificial intelligence. The method comprises the following steps: 1, identifying a target object in the identification area of each frame of a video data source by adopting an identification algorithm; 2, distinguishing and marking a former frame and a next frame of the target object of the video data source in a buffer area through a marking algorithm, completing non-repeated marking of the same target object, and ensuring uniqueness of an identification object; 3, intercepting the identification area from each frame of the video, tracking the identification object in the internal area of the buffer area by using a tracking algorithm, tracking the track of the target object out of the buffer area, and ensuring that the tracking of the target object is not disordered under the influence of overlapping, shielding and re-separation factors in the tracking process, thereby obtaining a result ofthe identification object; and 4, recording the position of the tracking target object out of the identification area, and performing behavior analysis and statistics on the tracking target object byusing the position. According to the invention, the video monitoring equipment of the existing inland waterway is fully utilized, and the equipment replacement cost is greatly saved.

Description

technical field [0001] The invention relates to the field of monitoring and management of inland waterways, in particular to an artificial intelligence-based video monitoring and analysis method for maritime services. Background technique [0002] In recent years, with the increasing number of tourist ships, cargo ships, ferry ships and river resource development operation ships in inland waterways, hundreds of water traffic safety accidents have been caused every year, causing hundreds of casualties and immeasurable The loss of property has brought great challenges to the supervision of the maritime sector. [0003] In order to strengthen the navigation control of the inland waterway section, the maritime department usually adopts the automatic identification of ships (AIS), the inland river VHF shore ship data communication system (VHF) technology, and the VTS radar and closed-circuit television monitoring system at key terminals. (CCTV) waterway video technology means to...

AI Technical Summary

Problems solved by technology

However, AIS and VTS radars also expose many defects in the practical application of electronic cruise, which cannot meet the business needs of smart maritime supervision

For example, there are signal blind spots in AIS, many ships do not open or install AIS due to various reasons, and the fusion of AIS and VTS radar information is not perfect, etc.

The main manifestation is that AIS lacks intuitive visual observation and on-site situation control capabilities. At the same time, with the continuous improvement of the business needs of the maritime sector, the early standard definition video surveillance system also has disadvantages in the application process, such as speeding and overloading of ships. , Turning around at random or overtaking, the original standard definition camera cannot provide effective image details, especially the name of the ship cannot be seen clearly, which brings great inconvenience to maritime supervision and law enforcement personnel

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