Clothing Analysis Method and System for Specific Pedestrians Based on Fashion Graph Migration

An analysis method and clothing technology, applied in image analysis, neural learning methods, image enhancement, etc., can solve the problems of no further excavation of clothing information, lack of clothing information mining, and inability to obtain clothing category information, etc., to achieve good clothing analysis results Effect

An analysis method and clothing technology, applied in image analysis, neural learning methods, image enhancement, etc., can solve the problems of no further excavation of clothing information, lack of clothing information mining, and inability to obtain clothing category information, etc., to achieve good clothing analysis results Effect

CN107862696BActive Publication Date: 2021-07-02WUHAN UNIV
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  • Clothing Analysis Method and System for Specific Pedestrians Based on Fashion Graph Migration
  • Clothing Analysis Method and System for Specific Pedestrians Based on Fashion Graph Migration
  • Clothing Analysis Method and System for Specific Pedestrians Based on Fashion Graph Migration

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Experimental program
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Effect test

Embodiment

[0103] The fashion datasets used in this embodiment include the "Fashionist" dataset (abbreviation: Fashionista) and the "clothing joint analysis" dataset (abbreviation: CCP); the monitoring dataset adopted includes pedestrian data provided by the Massachusetts Institute of Technology dataset (MIT for short) and the "person re-identification" dataset (PRID for short).

[0104] In this embodiment, the fashion data set is used as the initial training data set, 100 monitoring images are taken from the monitoring data set as the test data set, and the rest are used as the migration training data set. During the test, the fashion data set and the monitoring data set were crossed in pairs, and a total of four sets of experiments were conducted, including: Fa-MIT (migration from Fashionista to MIT, the same below), Fa-PRID, CCP-MIT, and CCP-PRID.

[0105] The present invention uses the foreground accuracy to assess the experimental effect. The foreground accuracy refers to the perce...

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Abstract

The invention discloses a specific pedestrian clothing analysis method and system based on fashion map migration, including: first, the model is initialized by training the fashion data set; then, the model is used to analyze monitoring images containing pedestrians, and the strip Constrained optimization parses the results; finally, the model transfer problem is handled by an example-based transfer learning method using weak labels in the monitoring dataset. The method proposed in the present invention can obtain the clothing information in the fashion atlas, and apply it to the monitoring field through transfer learning combined with weak supervision, which can not only retain the information obtained by the clothing analysis in the fashion field, but also improve the analysis effect of the monitoring clothing, and Greatly reduce the workload of data labeling. In the quantitative and qualitative tests on the actual monitoring data set, the validity of the proposed method of the present invention is proved.

Description

technical field [0001] The present invention relates to the technical field of monitoring image segmentation, relates to a pedestrian clothing analysis method, in particular to a specific pedestrian clothing analysis method and system based on fashion map migration. Background technique [0002] Clothing parsing is an image segmentation task for specific clothing and body parts. Although clothing analysis is a research hotspot that has only emerged in recent years in computer vision, it has been widely used in areas such as person recognition, pose estimation, and fashion graph analysis. In particular, clothing analysis related to fashion graphs has achieved relatively successful research results and applications, such as: clothing retrieval, e-commerce, etc. At the same time, although the analysis of the clothes of pedestrians in the surveillance video can obtain key information in the intelligent security system such as pedestrian identity, location, and occlusion, which ...

Claims

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Application Information

Patent Timeline
02 Jul 2021
Publication
CN107862696B
IPC
G06T7/11; G06T7/13; G06T7/136; G06T7/62; G06N3/08; G06N3/04
CPC
G06N3/08; G06T7/11; G06T7/13; G06T7/136; G06T7/62; G06T2207/20081; G06N3/045
Inventors
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