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Pedestrian image retrieval method based on text description

An image retrieval and text technology, applied in the field of cross-media information retrieval, can solve the problems of large intra-class differences and small intra-class differences of pedestrian characteristics, and achieve the effect of enhancing association

Active Publication Date: 2021-02-12
四川省人工智能研究院(宜宾)
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AI Technical Summary

Problems solved by technology

[0006] Aiming at the above-mentioned deficiencies in the prior art, a text description-based pedestrian image retrieval method provided by the present invention solves the problem that the intra-class differences of pedestrian features are too large and the intra-class differences are too large in the text-based pedestrian image retrieval task in the prior art. small problem

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  • Pedestrian image retrieval method based on text description
  • Pedestrian image retrieval method based on text description

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Embodiment Construction

[0042] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0043] Such as figure 1 As shown, a pedestrian image retrieval method based on text description includes the following steps:

[0044] S1. Construct a pedestrian image retrieval model, train the pedestrian image retrieval model, and obtain a trained pedestrian image retrieval model;

[0045] Such as figure 2 As shown, the pedestrian image retrieval model in step S1 includes: image feature extractor, text feature extracto...

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Abstract

The invention discloses a pedestrian image retrieval method based on text description, which comprises the following steps: S1, constructing a pedestrian image retrieval model, and training the pedestrian image retrieval model to obtain a trained pedestrian image retrieval model; and S2, calculating a cosine similarity value between the image features and the text features by adopting the trainedpedestrian image retrieval model, and obtaining a pedestrian image retrieved based on text description according to the cosine similarity value. According to the invention, the problem that the intra-class difference of pedestrian features in a pedestrian image retrieval task based on text description is too large and too small in the prior art is solved.

Description

technical field [0001] The invention relates to the field of cross-media information retrieval, in particular to a pedestrian image retrieval method based on text description. Background technique [0002] Given a query text describing pedestrian appearance in natural language, textual description-based pedestrian image retrieval aims to retrieve the most relevant pedestrian images from a pedestrian image database. With the gradual promotion and popularization of video surveillance, this task has important application value in the fields of crime prevention, sky-eye tracing, trace tracking and other fields. The main difficulty of this task is that text features and image features belong to features of different modalities, and there is a heterogeneous semantic gap between them. In the application scenario, we need to calculate the similarity between text features and pedestrian image features in the gallery. However, it is meaningless to directly compute the feature simila...

Claims

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Application Information

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IPC IPC(8): G06F16/583G06F16/55G06K9/62G06N3/04G06N3/08
CPCG06F16/5846G06F16/55G06N3/049G06N3/08G06N3/045G06F18/22G06F18/2415
Inventor 邵杰张鹏欧阳德强蒋春林
Owner 四川省人工智能研究院(宜宾)
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