A ship detection method and system based on scene multi-dimensional features

Abstract

The present invention provides a ship detection method and system based on multi-dimensional features of the scene, including building a ship image sample library, extracting all edges of each frame of image as the fourth dimension of the image; extracting the coastline, making the sea surface area the area where the ship appears; constructing The Faster RCNN-like convolutional network is used as a deep learning network, and the sample data is input into the deep learning network; the RPN network is constructed, and the sliding window is used to generate area suggestion boxes of different sizes in the area where ships appear. Position training model; based on the trained model on the detection image, ship detection is performed on the part between the coastlines. The present invention avoids the interference of land houses by extracting the coastline, and only proposes areas for the ship area, which improves the accuracy and speed of the area suggestion frame; and adds edge features as the fourth dimension of the image in the target detection, which improves the detection precision and speed.

Description

technical field [0001] The invention belongs to the field of computer vision, and relates to a ship detection method and system for constructing a deep learning network model based on scene multidimensional features. Background technique [0002] In today's society, video surveillance cameras are ubiquitous, and multiple surveillance images are displayed simultaneously on the video wall of the surveillance center. If only relying on human eyes to observe and detect, it is easy to miss abnormal events. Studies have shown that professional monitoring personnel will miss 95% of the behavior after 22 minutes if they only monitor 2 monitors, and cannot effectively prevent the occurrence of criminal behavior in advance. The intelligent monitoring probe improves the active early warning capability of the real-time monitoring system. When a relevant dangerous situation is detected, an early warning is issued, which is conducive to the relevant departments to take timely measures. O...

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