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Urban management case image recognition method based on dictionary learning

A technology for urban management and dictionary learning, applied in character and pattern recognition, data processing applications, computer parts, etc., to improve the accuracy of classification

Active Publication Date: 2020-08-07
JIYUAN VOCATIONAL & TECHN COLLEGE
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  • Application Information

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Problems solved by technology

In order to overcome the disadvantage that the traditional boundary feature can only extract the contour change information in the horizontal direction, the present invention adopts a starting point alignment method to align the contours of each case under the same video, and it also increases the rotation difference compared with the traditional boundary feature. transsexual

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  • Urban management case image recognition method based on dictionary learning
  • Urban management case image recognition method based on dictionary learning
  • Urban management case image recognition method based on dictionary learning

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Embodiment Construction

[0061] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0062] The present invention provides an image recognition method for urban management cases based on dictionary learning, and the overall algorithm principle flow is as follows figure 1 As shown, the invention steps are as follows:

[0063] Step 1: Upload the pictures of urban management cases and various cases of surveillance video screenshots to the cloud library, compress the collection of various cases through compression technology, reduce redundant information, and then transmit and store them;

[0064] The specific description of the classification of urban management cases in step 1 is as follows:

[0065] In order to speed up the processing of urban management cases, the present invention will identify 8 specific urban management cases, including: 1. Motor vehicles; 2. Shared bicycles; 3. Small advertisements; 4. Trash cans; 5. Electr...

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Abstract

The invention relates to an urban management case image recognition method based on dictionary learning. The method comprises the following steps: firstly uploading urban management case images and various types of cases of a monitoring video screenshots to a cloud library, compressing the collected various types of cases through a compression technology, reducing the redundant information, and then transmitting and storing the compressed cases; extracting contour features of case sample images, and using training sample features to construct a dictionary model; adding a sample label into thedictionary, and classifying the urban management cases by the dictionary through an added linear discriminant; and finally, after the urban management cases are classified, reporting and auditing thecase types, and sending the case types to workers in the region in time. The working efficiency is improved, and intelligent urban case management is realized.

Description

technical field [0001] The present invention relates to the field of urban management cases, and particularly designs an image recognition method for urban management cases based on dictionary learning. Background technique [0002] Due to the acceleration of urban civilization construction, the rectification and improvement of city appearance and environment has become extremely important. In recent years, more and more cities have adopted smart city management systems to manage urban operations more conveniently and quickly. Not only has it been successfully implemented in some first-tier cities, such as Beijing, Hangzhou, Shanghai, and Shenzhen; but also most of the second-tier cities such as Chongqing, Qingdao, and Jinan have gradually become trial sites for smart cities. These cities have successively implemented smart city management with strong technology and innovative strength. [0003] With the process of urbanization, the area of ​​major cities in China has incr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06K9/00G06Q50/26
CPCG06Q50/26G06V20/52G06V10/44G06F18/28G06F18/2155G06F18/24Y02A30/60
Inventor 王亚利
Owner JIYUAN VOCATIONAL & TECHN COLLEGE
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