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Ship identification method based on AIS and video data fusion

An identity recognition and video data technology, applied in the field of ship traffic service system, can solve the problems such as the inability of the pan/tilt camera to rotate and zoom, other moving objects are mistakenly detected as ship targets, and easy to miss the detection of stationary or low-speed ship targets, etc. Wide application prospects and the effect of reducing labor costs

Active Publication Date: 2019-03-12
SHANGHAI ADVANCED AVIONICS
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Problems solved by technology

This method realizes ship identification to a certain extent, but a single motion detection method is easy to miss stationary or low-speed ship targets, and is easy to misdetect other moving objects as ship targets. The conversion of the coordinates causes the gimbal camera to be unable to rotate and zoom

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  • Ship identification method based on AIS and video data fusion
  • Ship identification method based on AIS and video data fusion
  • Ship identification method based on AIS and video data fusion

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] figure 1 It is a flow chart of the ship identification method based on the fusion of AIS and video data in the present invention.

[0041] See figure 1 , the ship identification method based on the fusion of AIS and video data provided by the present invention comprises:

[0042] Step S1: Collect ship samples and train ship target classifiers;

[0043] Step S2: using the ship target classifier to detect the ship target on the video frame collected by the pan-tilt camera;

[0044] Step S3: compare the identified ship library, filter the identified ship, and continue to perform subsequent steps for the new target;

[0045] Step S4: Continuously collect AIS data and filter the data from two scales of time and space;

[0046] Step S5: Estimate the current position of the AIS target by linear extrapolation;

[0047] Step S6: converting the AIS t...

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Abstract

The invention discloses a ship identification method based on AIS and video data fusion, which comprises the following steps: collecting ship samples and training a ship target classifier; Video frames captured by Pan-tilt camera are detected by ship target classifier. Filter the identified ship by comparing the identified ship depots; Collect AIS data and filter them from time and space; Linear extrapolation is used to estimate the current position of AIS target and convert it to image coordinate system. The matching target is matched with the converted AIS target, and the feature of the matched target is extracted and stored in the identified ship library. The experimental results show that the invention can quickly and accurately extract ship targets in the surveillance video and identify them, effectively reduce the human cost, and has a wide application prospect in the fields of ship traffic, port management and the like.

Description

technical field [0001] The invention relates to an information processing method in the field of Vessel Traffic Service System (VTS), in particular to a vessel identification method based on fusion of AIS and video data. Background technique [0002] Video surveillance has become an important means of information collection in the fields of ship traffic and port management because of its intuitive, timely, accurate and large amount of information. [0003] The ship target extraction and identification method in surveillance video can effectively reduce labor costs and improve the intelligence of maritime management, which has extremely high research and application value. [0004] The feature-based ship rapid identification method disclosed in patent document CN201210543644.6 trains a ship feature-based decision tree classifier through a manually marked ship feature library, and then uses the classifier to detect images in the video. This method can quickly extract the ship...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06V10/75G06V10/772
CPCG06V20/52G06F18/22G06F18/25G06F18/24G06F18/214G08G3/00G06V10/446G06V2201/07G06V10/806G06V10/75G06V10/811G06V10/772G06F18/256G06F18/253G06T7/0008G06T2207/30248G08G3/02G06V10/80G06V20/54G06F18/28
Inventor 袁敏彭树林钱伟倪侃俊王新雅
Owner SHANGHAI ADVANCED AVIONICS
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