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Recognition algorithm evaluation method and system based on infrared image big data

A recognition algorithm and infrared image technology, applied in character and pattern recognition, computing, computer components, etc., can solve the problems of inability to fully test the performance of the recognition algorithm and the limited amount of testing

Active Publication Date: 2021-01-08
TIANJIN JINHANG INST OF TECH PHYSICS
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Problems solved by technology

However, the public target detection and recognition competitions are all aimed at detection algorithms based on deep learning. The two indicators cannot well reflect the performance characteristics of the recognition

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  • Recognition algorithm evaluation method and system based on infrared image big data
  • Recognition algorithm evaluation method and system based on infrared image big data
  • Recognition algorithm evaluation method and system based on infrared image big data

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Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It can be understood that the specific implementation manners described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0044] It should be noted that, in the case of no conflict, the implementation modes and the features in the implementation modes of the present invention can be combined with each other. The present invention will be described in detail below with reference to the drawings and in combination with embodiments.

[0045]The embodiment of the present invention provides a recognition algorithm evaluation method and system based on infrared image big data, through the test image library based on the normalized classification of infrared image big data, a reference value is pro...

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Abstract

The invention provides a recognition algorithm evaluation method and system based on infrared image big data. The method and system are used for solving the problem that in the prior art, an infraredimage recognition algorithm evaluation method is not high in applicability. The recognition algorithm evaluation method based on infrared image big data comprises the following steps: S1, establishingan infrared image test database; s2, calling a to-be-evaluated identification algorithm, selecting a to-be-tested image sequence from the infrared image test database according to the algorithm, andspecifying an identification target; s3, marking each frame of image of each sequence in the selected to-be-tested image sequence; s4, performing target identification on the selected to-be-tested image sequence by adopting the called identification algorithm; and S5, comparing the identification result in the step S4 with the marking result in the step S3, evaluating the identification algorithm,and outputting a result. According to the invention, a unified performance evaluation platform is provided for an identification algorithm in far and near scenes, automatic evaluation is achieved, and the evaluation efficiency and precision are improved.

Description

technical field [0001] The invention belongs to the field of computer vision and image processing, in particular to a recognition algorithm evaluation method and system based on infrared image big data. Background technique [0002] With the development of computer vision, there are more and more image recognition algorithms. As a special type of image, infrared images are widely used in monitoring, security, medical, aviation, military navigation and other fields, and the recognition algorithms for infrared images are becoming more and more optimized. Therefore, the evaluation of recognition algorithms is becoming more and more important. [0003] In the prior art, the target detection and recognition algorithm evaluation method used in open competitions has been relatively mature. The recognition algorithm evaluation method mainly includes recognition accuracy and recognition rate: the recognition accuracy is the position offset error of the matching center point; the suc...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2193Y02D10/00
Inventor 李婷徐传刚姚克明吴永国
Owner TIANJIN JINHANG INST OF TECH PHYSICS
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