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Target identification method and device, storage medium and electronic device

A recognition method and target recognition technology are applied in the field of target recognition method and device, storage medium and electronic device, which can solve the problem of low target recognition rate and achieve the effect of improving the accuracy rate.

Pending Publication Date: 2021-07-16
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a target recognition method and device, a storage medium, and an electronic device, so as to at least solve the problem of low target recognition rate in related technologies

Method used

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  • Target identification method and device, storage medium and electronic device
  • Target identification method and device, storage medium and electronic device
  • Target identification method and device, storage medium and electronic device

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0029] The method embodiment provided in Embodiment 1 of the present application may be executed in a server, a server, or a similar computing device. Take running on the server as an example, figure 1 It is a block diagram of the hardware structure of a server of an object identification method in an embodiment of the present invention. Such as figure 1 As shown, the server 10 may include one or more ( figure 1 Only one is shown in ) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned server can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and it does not limit the structure of the above server. For example, server 10 may also include figure 1 m...

Embodiment approach

[0055] The embodiment of the present invention is a business means to reduce the false detection rate of face analysis tasks by generating non-face feature databases by labeling. It is mainly oriented to security, face recognition and other scenarios, and adjusts the false detection rate of the video analysis platform. Improve system performance; the invention particularly relates to the field of artificial intelligence (AI). The present invention will be further described below in conjunction with specific face recognition scenarios. It should be noted that the solutions provided by the embodiments of the present invention are not limited to face recognition scenarios, and may also be other target recognition scenarios.

[0056] In this embodiment, a supervised video analysis platform capable of recognizing faces can be constructed, and non-face pictures can be filtered according to the marked non-face feature library.

[0057] In this embodiment, the basic principle of the b...

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Abstract

The invention provides a target recognition method and device, a storage medium and an electronic device, and the method comprises the steps that the target recognition of a to-be-recognized image is carried out, and a target image is obtained; the target image is identified according to non-target information, whether the target image comprises the target or not is determined, the non-target information comprises information of a non-target in a non-target image which is wrongly identified in a historical target image obtained through historical identification, and therefore the problem that the target recognition rate is low in the prior art can be solved, and the effect of improving the target recognition accuracy is achieved.

Description

technical field [0001] The present invention relates to the communication field, in particular, to an object identification method and device, a storage medium and an electronic device. Background technique [0002] In the context of artificial intelligence, many fields use image recognition methods to achieve related purposes. For example, in the security field, more and more attention is paid to video surveillance through video analysis platforms to assist public security in handling cases. The video analysis platform relies on the algorithm model obtained through deep learning training to capture the faces of people passing through the camera. The results of these captures can effectively become evidence for locating suspicious persons. However, limited by the accuracy of the algorithm, for some objects that are not human faces, the video analysis platform will still recognize them as human faces and show the results to the operator. These data lead to a low recognition r...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/22G06F18/00
Inventor 谈笑
Owner ZTE CORP
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