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Target detection method, image recognition server and system

A technology of image recognition and target detection, which is applied in transmission systems, closed-circuit television systems, electrical components, etc., can solve problems that cannot be counted as distributed image target detection systems, and achieve the requirements of reducing data transmission volume and network bandwidth. The effect of reducing the size

Inactive Publication Date: 2018-07-10
CENT SOUTH UNIV
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Problems solved by technology

Surat Teerapittayanon of Harvard University and others proposed "Distributed Deep Neural Networks over the Cloud, the Edge and End Devices" at the IEEE 37th International Conference on Distributed Computing Systems in 2017, which uses a distributed system architecture, but it can only be used for a single object. Image classification, since target detection requires classification and positioning of objects in the image, the above system cannot be regarded as a distributed image target detection system in the strict sense

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  • Target detection method, image recognition server and system
  • Target detection method, image recognition server and system
  • Target detection method, image recognition server and system

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

[0037] Such as figure 1 with figure 2 As shown, the target detection method of the present embodiment includes the following steps: S1. Receive the monitoring image, the monitoring image is divided into RoI area and non-RoI area, the RoI area is compressed with the first compression rate, and the non-RoI area is compressed with the second compression rate , the first compression rate is less than the second compression rate; S2. Perform image recognition on the monitoring image through a preset image recognition model, and send the first compression rate and / or second adjustment to the sending end device of the monitoring image according to the image recognition result 2. Compression rate The compression rate update parameter.

[0038] In this embodiment, a s...

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Abstract

The invention discloses a target detection method, an image recognition server and a system, wherein the method comprises the following steps: S1, receiving a monitoring image, wherein the monitoringimage is divided into a RoI region and a non-RoI region, the RoI region is compressed according to a first compression rate, the non-RoI region is compressed according to a second compression rate, and the first compression rate is less than the second compression rate; S2, performing image recognition for the monitoring image through a preset image recognition model, and according to a result ofimage recognition, sending a compression rate updating parameter for adjusting the first compression rate and / or the second compression rate to a sending end of the monitoring image. The method, the server and the system, provided by the invention, have the advantages of greatly reducing data transmission quantity, having low requirement on networks, greatly reducing network cost, improving efficiency of image detection, responding quickly, having high detection precision, and so on.

Description

technical field [0001] The invention relates to the field of image target detection, in particular to a target detection method, an image recognition server and a system, and is especially suitable for target detection of a distributed monitoring system of the Internet of Things. Background technique [0002] Intelligent video surveillance technology is a relatively new research field developed on the basis of computer vision and image processing technology, combined with other related technologies and theories. It aims to use the data analysis capabilities of computers or intelligent processing units to automatically realize static or The perception, description and analysis of dynamic physical objects meet the needs of daily production, intelligent security in life, intelligent transportation, and urban intelligent construction. [0003] The image target detection system distinguishes between centralized and distributed in terms of computing modes: [0004] 1) Centralized...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18H04L29/08
CPCH04L67/10H04N7/18
Inventor 任炬郭云镝张德宇刘青青张尧学
Owner CENT SOUTH UNIV
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