Target classifier self-adaptive updating method and device

An adaptive update and target classification technology, applied in the field of image processing, can solve the problems of poor scene adaptability and low target detection rate, and achieve the effect of improving the target detection rate

Active Publication Date: 2016-04-20
ZHEJIANG UNIVIEW TECH CO LTD
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Problems solved by technology

However, the algorithm has poor scene adaptability, and its target detection rate is low for new scenes that did not participate in the training of the target classifier.

Method used

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  • Target classifier self-adaptive updating method and device
  • Target classifier self-adaptive updating method and device
  • Target classifier self-adaptive updating method and device

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Embodiment Construction

[0019] The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the application as detailed in the appended claims.

[0020] The terms used in this application are only for the purpose of describing specific embodiments, and are not intended to limit the application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and...

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Abstract

The invention provides a target classifier self-adaptive updating method and a target classifier self-adaptive updating device. The target classifier self-adaptive updating method comprises the steps of: carrying out target detection on an image to be detected by adopting a target classifier; recording position coordinates of component models when synthetic scores are greater than a score threshold value during the detection process; acquiring position coordinate standard deviations of the component models through establishing Gaussian models of the position coordinates of the component models; and updating anchor point coordinates of the corresponding component models according to the position coordinate standard deviations of the component models, thereby achieving self-adaptive updating of the target classifier. The method and the device can achieve self-adaptive updating of the target classifier in different scenes, and increase a target detection rate.

Description

Technical field [0001] This application relates to the field of image processing technology, and in particular to a method and device for adaptive update of a target classifier. Background technique [0002] DPM (DeformablePartsModel, Deformable Parts Model) is currently a popular target detection algorithm. This algorithm is a component-based target detection method that is robust to the deformation of the target. However, the scene adaptability of this algorithm is poor, and the target detection rate is low for new scenes that are not involved in the training of the target classifier. Summary of the invention [0003] In view of this, the present application provides an adaptive update method and device for a target classifier. [0004] Specifically, this application is implemented through the following technical solutions: [0005] The present application provides an adaptive update method for a target classifier, the method includes: [0006] Use the target classifier to perform ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06K9/62
CPCG06V30/194G06V2201/07G06F18/2415
Inventor 程博高杰
Owner ZHEJIANG UNIVIEW TECH CO LTD
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