Method of detecting and recognizing target by using police video monitoring fuzzy image

A technology for video monitoring and blurring images, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as image blurring in public security video surveillance

Inactive Publication Date: 2017-09-15
GANSU INST OF POLITICAL SCI & LAW
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for detecting and identifying objects using fuzzy imag

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  • Method of detecting and recognizing target by using police video monitoring fuzzy image
  • Method of detecting and recognizing target by using police video monitoring fuzzy image
  • Method of detecting and recognizing target by using police video monitoring fuzzy image

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Embodiment Construction

[0088] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0089] The application principle of the present invention will be further described below in conjunction with the accompanying drawings.

[0090] Such as figure 1 As shown, the embodiment of the present invention provides a method for detecting and identifying targets using blurred images of public security video surveillance, including:

[0091] S101: Combining the Kalman filter method and the rectangular tracking method to separate the features of the target position and area;

[0092] S102: Analyzing the movement state of the target by constructing a feature recognition matrix;

[0093] S103: Implement corresponding m...

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Abstract

The invention discloses a method of detecting and recognizing a target by using a police video monitoring fuzzy image. A Kalman filtering method and a rectangle tracking method are combined, and target position and area features are separated; through constructing a feature recognition matrix, the motion state of the target is analyzed; and corresponding multi-angle of view monitoring tracking is executed on different states. As for the police video monitoring fuzzy image, a fuzzy neural network and an RS theory are adopted, the target is detected and recognized, a new algorithm is improved and put forward, and the fuzzy image recognition rate is improved; effective information is subjected to fusion processing, the features of the target object are dynamically extracted, and dynamic capturing and early warning are carried out, and the advanced level of the country is reached; and the problem that the current video monitoring image is fuzzy can be solved.

Description

technical field [0001] The invention belongs to the technical field of image data processing, and in particular relates to a method for detecting and identifying a target object by using a fuzzy image of public security video surveillance. Background technique [0002] The research on objects such as face recognition originated from the French SirFranis Galton at the end of the 19th century. Represented by Allen and Parke, the main research is on facial features; human-computer interactive recognition and the study of geometric feature parameters are represented by Harmon and Lesk, and Kaya and Kobayashi are represented by statistical recognition methods; Eyematic and Tsinghua University in my country have developed "Face recognition system", but the recognition rate of fuzzy video surveillance images is not high, and the research on dynamic capture and early warning technology for targets is in the initial stage. [0003] With the continuous development of video surveillanc...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/277
CPCG06T2207/10016G06T2207/20081G06T2207/20084G06T7/246G06T7/277
Inventor 王云峰谢素艳宁晓希韩常寇为刚谭等泰贺国庆
Owner GANSU INST OF POLITICAL SCI & LAW
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