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Target recognition method and device

A target recognition and target technology, applied in the field of image processing, can solve the problems of reducing the overall effect of algorithm recognition, blurred black hat borders, difficult hat recognition, etc., to achieve reliable final results of target recognition, improve recognition effect, and improve accuracy. Effect

Pending Publication Date: 2021-12-07
ZHEJIANG DAHUA TECH
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Problems solved by technology

[0003] Moreover, when performing target recognition, there are often some difficult-to-recognize images. For example, if the hair color of a person wearing a hat is black, and the color of the hat is also black, it is easy to cause the boundary of the black hat to be blurred, which in turn makes the hat difficult to recognize. These difficult-to-recognize images will reduce the overall effect of algorithm recognition

Method used

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  • Target recognition method and device
  • Target recognition method and device

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Embodiment

[0082] combine Figure 4 shown.

[0083] With the image to be processed ( Figure 4 A1 is used as an example to illustrate whether the person wears a hat, wherein the hat can be used as the object to be identified, and whether the person wears a hat is a sub-attribute of the object to be identified.

[0084] When the hat color is not similar to the hair color, such as Figure 5 As shown, the non-black hat is clearly distinguished from the hair color and is easy to distinguish.

[0085] Since the black hat is similar to the color of black hair (such as Figure 6The person with black hair shown wears a black hat), so it is easy to be recognized as no hat, and the recognition effect is poor, so it is necessary to use the color of the hat as a sub-attribute of the main attribute.

[0086] Therefore, the samples including black hats and no hats in the first historical image set can be picked out as the second historical image set, and a branch (ie, auxiliary attribute recogniti...

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Abstract

The invention discloses a target recognition method and device, and a target recognition model at least comprises a main attribute recognition branch, a sub attribute recognition branch and an auxiliary attribute recognition branch, so when the target recognition model is used for target recognition, corresponding recognition results can be respectively obtained, and the first main attribute recognition result can be corrected on the basis of the sub-attribute recognition result and the second main attribute recognition result; and finally, the corrected first main attribute recognition result is adopted to determine the attribute feature of the target to be recognized, namely, the final result of target recognition is the result of the synergistic effect of the three branches; therefore, through the auxiliary attribute recognition branch, the recognition effect of the attribute features of the target to be recognized can be improved, the final result of target recognition is more reliable and accurate, the influence of an image difficult to recognize on the overall recognition effect can be eliminated, and the accuracy of target recognition is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a target recognition method and device. Background technique [0002] When performing target recognition on an image, if the image includes a worker wearing a hat and an apron, the hat can be used as the target to be recognized, and whether wearing a hat can be used as the main attribute of the target to be recognized; or, the apron can be used as The target to be identified, and whether to wear an apron is the main attribute of the target to be identified. [0003] Moreover, when performing target recognition, there are often some difficult-to-recognize images. For example, if the hair color of a person wearing a hat is black, and the color of the hat is also black, it is easy to cause the boundary of the black hat to be blurred, which in turn makes the hat difficult to recognize. These difficult-to-recognize images will reduce the overall effect of algorithm recogniti...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/22G06F18/24G06F18/214
Inventor 杨永涛唐邦杰潘华东殷俊
Owner ZHEJIANG DAHUA TECH
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