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Fast target detection method based on grid judgment

A target detection and grid technology, applied in the field of image processing, can solve the problem that the accuracy and speed of target detection cannot be guaranteed at the same time, and achieve the effect of reasonable method design, accurate detection effect, and reduction of loss of accuracy.

Active Publication Date: 2017-10-13
成都快眼科技有限公司
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Problems solved by technology

[0019] The invention provides a fast target detection method based on grid judgment, which solves the technical problem that the existing target detection system based on convolutional neural network cannot guarantee the accuracy and speed of target detection at the same time, and realizes that the method design is reasonable and can Achieve the technical effect of simultaneously ensuring the accuracy and speed of target detection

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  • Fast target detection method based on grid judgment

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Embodiment Construction

[0044] The invention provides a fast target detection method based on grid judgment, which solves the technical problem that the existing target detection system based on convolutional neural network cannot guarantee the accuracy and speed of target detection at the same time, and realizes that the method design is reasonable and can The technical effect of simultaneously ensuring the accuracy and speed of target detection is achieved.

[0045] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, under the condition of not conflicting with each other, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0046] In the following description, many specific details are set forth in order to fully under...

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Abstract

The invention discloses a fast target detection method based on grid judgment. The method comprises the following steps: S1, gridding an image; S2, extracting the features of the grid areas; S3, judging and merging the grids: first, judging whether each grid belongs to a specified target object according to a regression model trained in advance, and then, merging the grids into an initial object window according to the object category to which each grid belongs; and S4, carrying out bounding-box regression on the initial object window through a bounding-box regression method. The accuracy and speed of target detection can both be ensured.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a fast target detection method based on grid judgment. Background technique [0002] Vision is an important way for humans to obtain external information, and it can bring people a more intuitive and rich sensory experience. Image object detection is a key problem in computer vision applications. Its realization method is: input an image to be processed, let the computer understand the static image and video from the semantic point of view, recognize the target of the specified category in advance (such as common objects such as human beings, animals, vehicles), and point out the target. The location of the target, and the size of the target (usually represented by a rectangular border). [0003] Early studies were mainly based on cascaded structure detection models. Firstly, the features of the face are extracted, and then the extracted face features are discriminated ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06K9/00G06K9/32
CPCG06V20/40G06V20/46G06V20/52G06V10/25G06V10/44G06V2201/07G06F18/2431G06F18/214
Inventor 李宏亮李威
Owner 成都快眼科技有限公司
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