Illegal fishing behavior identification method based on automatic image identification
An automatic image and recognition method technology, which is applied in the field of image recognition and video surveillance, can solve the problems of wasting human resources and cannot effectively drive away illegal fishermen, etc., and achieves the reduction of labor costs, the application value of large projects, and accurate monitoring high rate effect
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[0057] A method for identifying illegal phishing behaviors based on automatic image recognition, comprising the following specific steps:
[0058] Step 1, real-time extraction of video image sequences from cameras installed in prohibited fishing areas.
[0059] 1.1 The camera used in the present invention is a common monitoring camera or a high-definition camera for smart phones, and obtains the monitoring image of RGB (Red, Green, Blue) color space from the real-time video recorded by the camera;
[0060] 1.2 Compress the monitoring image size obtained in 1.1 to the standard 640*320 image size through an image interpolation algorithm.
[0061] Step 2, establish the edge extraction model of the fishing rod, and use the edge extraction operator to extract image edge pixels from the input video image sequence. The specific implementation method is as follows:
[0062] 2.1 The fishing rod edge extraction model referred to in the present invention means that the fishing rod has a...
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