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Ship track prediction method based on image superposition

A prediction method and ship trajectory technology, applied in image analysis, image enhancement, graphics and image conversion, etc., can solve the problems of unsatisfactory accuracy and complicated calculation process, and achieve good prediction effect and comprehensive trajectory information

Active Publication Date: 2019-07-30
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0003] The existing technology is to extract target features on the sequence diagram of each frame for trajectory tracking and prediction, but the current accuracy is not ideal and the calculation process is complicated

Method used

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  • Ship track prediction method based on image superposition
  • Ship track prediction method based on image superposition
  • Ship track prediction method based on image superposition

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Embodiment Construction

[0054] Such as figure 1 As shown, a ship trajectory prediction method based on image superposition, the method specifically includes the following steps:

[0055] Step 1: Extract the sequence diagram of each frame from the video, and preprocess the image at the same time. The histogram equalization method is used to reduce the background gray value of the image and highlight the hull characteristics.

[0056] Step 2: Select n time periods, let the time in each time period be Δt, select m frames of images from the time period Δt, and mark it as frame 1 , Frame 2 ,...Frame m .

[0057] Step 3: Select the image of the current time period as frame s , Where s=1, 2, ..., m. Calculation frame s Find all the ship targets, a total of m, mark all ships with the circumscribed rectangle, use the length and width of the image as the coordinate axis, and the upper left corner of the circumscribed rectangle (x 1s , Y 1s ), the lower right corner (x 2s , Y 2s ), take the frame 1 Calculate the back...

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Abstract

The invention discloses a ship track prediction method based on image superposition. The method comprises the following steps: firstly, shooting marine navigation of a ship by using a video, extracting a sequence diagram of each frame in the video, selecting a time period, superposing and compressing each frame of image in the time period onto one image, then processing the image, extracting feature information and track information, and repeating for multiple times; using each compressed image as a new track data set, and using Kalman filtering for prediction. According to the method, the sequence graphs in each period of time are superposed, and the target contour characteristics are extracted, so that the target point of each frame is changed into the target track in each period of time, and when the Kalman filtering method is used for track prediction, the track information is more comprehensive, and the prediction effect is better.

Description

Technical field [0001] The invention relates to the field of trajectory prediction, in particular to a method for predicting the trajectory of a ship based on image superposition. Background technique [0002] Relying on modern computer networks and communication equipment, using advanced intelligent processing algorithms, and combining quantitative and qualitative analysis to establish a ship's trajectory prediction model, this is one of the important contents of modern maritime digital information construction. Moreover, with the continuous development of artificial intelligence, unmanned ships at sea will inevitably become a hot issue in the future, so the trajectory prediction of ships will also be an important method for future research on unmanned ships. [0003] In the prior art, target features are extracted from the sequence diagram of each frame for trajectory tracking and prediction, but the current accuracy is not ideal and the calculation process is complicated. Summa...

Claims

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Application Information

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IPC IPC(8): G06T7/277G06T7/246G06T3/40G06T5/40G06T5/50
CPCG06T3/40G06T5/40G06T5/50G06T2207/10016G06T2207/20024G06T7/246G06T7/277
Inventor 侯志鹏陈张平孔亚广张扬
Owner HANGZHOU DIANZI UNIV
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