Image recognition method and device, terminal equipment and computer readable storage medium
A technology of image recognition and image features, applied in the field of image processing, can solve the problems of low recognition accuracy of recognition models
Pending Publication Date: 2021-02-12
UBTECH ROBOTICS CORP LTD
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Since the RGB features of the image are easily disturbed by background noise, when the background of the image to be recognized is quite different from that of the sample image, the recognition accuracy of the recognition model is low
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[0062] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
[0063] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.
[0064] As used i...
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The invention is suitable for the technical field of image processing, and provides an image recognition method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: detecting a target object in a to-be-recognized image, and obtaining a first detection box containing the target object; detecting key points on the target object contained in the first detection box to obtain key point information corresponding to the first detection box; extracting image features of the image contained in the first detection frame to obtain image feature information corresponding to the first detection frame; performing information fusion processing on the key point information and the image feature information corresponding to the first detection box to obtain feature fusion information corresponding to the first detection box; and identifying the target object contained in the first detection box according to the feature fusion information corresponding to the first detection box to obtain an identification result corresponding to the first detection box. Through the method, the accuracy of image recognition can be effectively improved.
Description
technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to an image recognition method, device, terminal equipment and computer-readable storage medium. Background technique [0002] Behavior is an important way for human beings to express and communicate. Therefore, human body behavior recognition is one of the important research directions of human-computer interaction, and it plays an important role in video surveillance, smart home and other fields. With the continuous development of deep learning technology, behavior recognition methods based on image recognition are widely used. [0003] Existing image recognition methods are usually based on the RGB features of the image. That is to use the RGB features of the sample image to train the recognition model, and then input the RGB features of the image to be recognized into the trained recognition model to realize the recognition of the image to be reco...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06F2218/08G06F18/214
Inventor 林灿然程骏庞建新
Owner UBTECH ROBOTICS CORP LTD