Intelligent multi-target detection method facing ship lock video monitoring

A technology of video monitoring and detection methods, applied in the field of pattern recognition, can solve problems such as difficulty in guaranteeing real-time performance, inability to obtain ship image templates in advance, difficulty in template matching, etc.

Inactive Publication Date: 2012-12-26
CHINA THREE GORGES UNIV
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Problems solved by technology

In the second method, the image template of the ship cannot be obtained in advance, and in the case of occlusion, the template matching is difficult, and the real-time performance is difficult to guarantee

Method used

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  • Intelligent multi-target detection method facing ship lock video monitoring
  • Intelligent multi-target detection method facing ship lock video monitoring
  • Intelligent multi-target detection method facing ship lock video monitoring

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Embodiment Construction

[0040] The intelligent multi-target detection method for ship lock video surveillance uses the image features of the front of the ship to identify multiple ships in the video under the condition of occlusion, including the following steps:

[0041] 1.a-Before the ship enters the monitoring area, perform background modeling on the area and obtain the background image;

[0042] 1.b- For each frame in the video stream, the background clipping method is used to obtain the foreground of the area where the moving target is located through the difference between the current frame and the background frame;

[0043] 1.c-Scan the foreground line by line, record the row and column coordinates and pixel values ​​of the first pixel encountered in each line, so as to obtain the front edge curve of the ship movement;

[0044] 1.d- Using the recorded edge curve shape features and pixel value attributes, perform simplified DBSCAN clustering on the edge curves to detect multiple ships.

[0045...

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Abstract

The invention provides an intelligent multi-target detection method facing ship lock video monitoring. The method includes recognizing a plurality of ships in a video on the condition of shielding and by utilization of image features of front edges of the ships, and modeling the background of a monitoring area before the ships enter the monitoring area to obtain background images; adopting a background subtraction method for each frame in video flow, and obtaining a foreground of the area where motional targets are located through differences of current frames and background frames; scanning line by line the foreground described in step 1.b, and recording coordinates of a row and a column and pixel values of a first pixel point met in each line to obtain border curves of motional front edges of the ships; and simplifying the border curves into density-based spatial clustering of applications with noise (DBSCAN) clusters according to recorded shape features of the border curves and attributes of the pixel values so as to detect the plurality of ships. The intelligent multi-target detection method facing the ship lock video monitoring is used to detect and recognize multiple targets in a ship lock and achieve automatic identification of conditions of positions and speeds of the ships in replacement of current manual identification.

Description

technical field [0001] The invention relates to an intelligent multi-target detection method for ship lock video monitoring, which belongs to the technical field of pattern recognition. Background technique [0002] A large number of video surveillance systems are only used for information collection and storage, and content analysis needs to be completed by humans. Using computer to intelligently process video information is one of the current research hotspots in pattern recognition. The ship lock is a mechanism set up by the hydropower station in the river for navigation. After the ship enters the ship lock, the gate is closed. In order to avoid damage to equipment and ships when the gate is closed, a no-stop line is set in the lock, and ships cannot cross the no-stop line. [0003] The current technology mostly detects multiple targets in a separated state, and the methods used mainly include: 1) The identification method of the moving target-acquire the area where the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32H04N7/18
Inventor 徐义春刘勇朱曼柯尊海
Owner CHINA THREE GORGES UNIV
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