Ship distinguishing and tracking method based on trail

A ship and trajectory technology, applied in the field of trajectory-based ship recognition and tracking, can solve problems such as poor recognition effect

Active Publication Date: 2013-03-13
NANJING STRONG INFORMATION TECH
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Problems solved by technology

The disadvantage is that it is greatly affected by external conditions such as light and weather, and it can only recognize objects in motion. It is not effective for objects that are still or moving too slowly.

Method used

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  • Ship distinguishing and tracking method based on trail
  • Ship distinguishing and tracking method based on trail
  • Ship distinguishing and tracking method based on trail

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Embodiment Construction

[0040] The present invention is further described below in conjunction with accompanying drawing, mainly divides following three parts and sets forth, and the first part sets forth the fast identification method of ship, and the second part sets forth the tracking method of ship track, and the third part relates to the method for judging the illegal docking event of the ship.

[0041] 1 Rapid identification method of ships

[0042] The method for quickly identifying a ship comprises the following steps:

[0043] Step 1: Manually label ship features and build a ship feature library;

[0044] Step 2: Learning and training a decision tree classifier based on ship features through the positive and negative samples of the ship feature library;

[0045] Step 3: Obtain video capture images with channel ship information through the front-end camera along the channel coast, perform image segmentation on the video capture images, filter non-channel information, and retain image informa...

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Abstract

The invention belongs to the technical field of intelligent shipping management, relates to an image distinguishing and detecting technology, and in particular relates to a ship distinguishing and tracking method based on a tail. The ship distinguishing and tracking method based on the tail comprises the following steps: 1: extracting the ship characteristic information of a valid distinguishing area relative to fairway information from an acquired video image, so as to distinguish a ship; 2, carrying out grey level histogram subtracting method to obtain a background-removal pure ship pixel accumulative grey level histogram gaussian model according to the foreground and background which are distinguished by a ship sorter based on gridding; and 3, analyzing connected regions, and separating and marking the targeted ship; and 4: carrying out follow-up tracking and analysis based on ship detection. According to the ship distinguishing and tracking method based on the rail, the ship can be quickly distinguished from the fairway based on the ship characteristics, the ship is tracked based on the tail, and thus the circumstance that the ships are illegally parked in no-parking areas on two sides of the fairway can be determined.

Description

technical field [0001] The invention belongs to the technical field of intelligent shipping management, and relates to an image recognition detection technology, in particular to a trajectory-based ship recognition and tracking method. Background technique [0002] Illegal docking of a ship is an act of judging violations in the set no-stop area, and its basis is the identification and tracking of the ship. Commonly used detection methods for inland ships at home and abroad use computer image vision analysis technology, infrared technology, radio frequency identification technology and sensor technology. Because computer vision technology based on video detection has the advantages of large detection range, rich information, and convenient installation and maintenance, it is considered to be one of the most promising detection methods. [0003] At present, intelligent video analysis technology in the field of land transportation has been widely and maturely applied, such as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 赵辉覃士国赵筠
Owner NANJING STRONG INFORMATION TECH
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