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Road monitoring method, system and electronic device

A road and channel technology, applied in the field of artificial intelligence, which can solve problems such as difficulty in supervision and inefficiency

Active Publication Date: 2021-01-12
HANGZHOU POLYTECHNIC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the monitoring of objects violating street management regulations is carried out by the urban management department, which is inefficient and difficult to supervise

Method used

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  • Road monitoring method, system and electronic device
  • Road monitoring method, system and electronic device
  • Road monitoring method, system and electronic device

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Embodiment Construction

[0059] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.

[0060] Scenario overview

[0061] As mentioned above, in the field of urban management, roads need to be monitored to detect objects that violate road management regulations. , For example, the tables and chairs that are placed on the road, and the umbrellas that are privately set up on both sides of the road. In recent years, the development of deep learning, especially neural networks, has provided new solutions and solutions for the monitoring of objects that violate street management regulations.

[0062] When detecting these objects that violate road...

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Abstract

The present application discloses a road monitoring method based on object re-identification with channel attention mechanism. The method includes: acquiring first and second street view images at a predetermined time interval; inputting the first and second street view images into a convolutional neural network to obtain first and second feature maps; The second feature map is input into the channel attention network to obtain the first and second channel feature vectors respectively; the first feature map is fused with the first channel feature vector to obtain the first fusion feature map and the The second feature map is fused with the second channel feature vector to obtain a second fusion feature map; the first and second fusion feature maps are concatenated by channel to obtain a classification feature map; and, the classification feature map is obtained. Classify with a classification function to obtain classification results. In this way, the monitoring result of whether objects violating road management regulations are included in the street view image is accurately obtained based on the channel attention mechanism.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and more specifically, relates to a road monitoring method, system and electronic equipment based on object re-identification with a channel attention mechanism. Background technique [0002] "Smart city" effectively integrates information technology with advanced urban management and service concepts, and provides cities with more convenient, efficient, and flexible public management innovations through digital network management of the city's geography, resources, environment, and economy. service mode. [0003] In the field of urban management, it is necessary to monitor roads to detect objects that violate road management regulations. Manage the tables and chairs that are placed, and the umbrellas that are privately set up on both sides of the road. [0004] At present, the monitoring of objects violating street management regulations is carried out by the urban ma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/017G06N3/08G06N3/04G06K9/46G06K9/62G06K9/00
CPCG08G1/0104G08G1/0175G06N3/084G06V20/52G06V10/40G06N3/048G06N3/045G06F18/2415
Inventor 程舒通何振华
Owner HANGZHOU POLYTECHNIC