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Structure tensor method for quick detection of small video target under dynamic ocean background

A dynamic background and structure tensor technology, which is applied to color TV parts, TV system parts, TVs, etc., to achieve the effect of accelerating effective extraction, reducing the amount of calculation, and enhancing practical value

Inactive Publication Date: 2011-06-08
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a structural tensor method for rapid detection of small video targets under the background of ocean dynamics, so as to solve the usability problems encountered by existing image targets when using traditional rapid detection methods for detection

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  • Structure tensor method for quick detection of small video target under dynamic ocean background
  • Structure tensor method for quick detection of small video target under dynamic ocean background
  • Structure tensor method for quick detection of small video target under dynamic ocean background

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Embodiment Construction

[0032] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0033] The present invention is a structural tensor method for rapid detection of small video targets under the ocean dynamic background, mainly for the traditional target detection method, which requires a large amount of calculation and takes a long time when extracting feature quantities, or the extracted feature quantities cannot meet the requirements of the ocean dynamic background. The improved design is based on the shortcomings such as the need to detect small targets.

[0034]When the present invention is implemented, two problems will be encountered, one of which is how to efficiently extract the feature value H of the target image, and the other is how to realize effective and fast detection of small target images.

[0035] For this rea...

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Abstract

The invention discloses a structure tensor method for quick detection of a small video target under dynamic ocean background, comprising the following steps of: when in construction, on the basis of a possible characteristic quantity H at the extraction part in a target image I, carrying out the treatment of target detection method based on the characteristic quantity H for the target image I; optimizing the process of the target detection with three steps; and combining the detection result with the detection result of the adjacent image of the target image I; therefore, the final result of the target detection is extracted. Through the application of the method, the quick detection method of small target can be realized under dynamic ocean background, and the method not only improves the running speed when the image is processed but also can further guarantee the characteristics of real-time, efficiency of the target detection and the fluency of video image.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to a structure tensor method for realizing fast detection of small targets in target images under the condition of dynamic background video processing. Background technique [0002] The fast target detection method involved in the field of video processing is mainly based on the characteristic difference between the target and its background, so as to rely on various fast detection algorithms to find possible targets. Especially now, fast object detection methods used in video processing are often used to track objects in real time. At present, when using the traditional fast detection method to search for the target, it is usually based on the following prerequisites: the background is relatively static relative to the target; or there is a large difference in gray scale or color between the target and the background. But in real life, there will be such a problem. When the state of ...

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Application Information

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IPC IPC(8): G06T7/00H04N5/14
Inventor 陈建彪施朝健许开宇冉鑫任蕾赵冰洁
Owner SHANGHAI MARITIME UNIVERSITY
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