Specific pedestrian clothing analysis method and system based on fashion picture 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

Active Publication Date: 2018-03-30
WUHAN UNIV
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Problems solved by technology

[0007] Chinese Patent Document No. CN105760999A, published (announcement) date 2016.07.13, discloses a clothing recommendation management method and system. In the clothing extraction stage, it uses the face to locate the position of the human body, and then combines the edge information of the clothing to determine the location of the clothing area. method, and then add clothing labels to the area through clothing recognition, but this method only gets the rectangular area of ​​the clothes, not the pixel-level segmentation area
However, this invention is mainly aimed at the segmentation of the human body, and lacks the mining of clothing information
[0009] Chinese Patent Document No. CN104794722A, open (a...

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  • Specific pedestrian clothing analysis method and system based on fashion picture migration
  • Specific pedestrian clothing analysis method and system based on fashion picture migration
  • Specific pedestrian clothing analysis method and system based on fashion picture migration

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Experimental program
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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 picture migration. The method comprises the steps that first, a model is initialized by training a fashion dataset; second, the model is used for analyzing a monitoring image containing pedestrians, and stripe constraint is introduced to optimize the analysis result; and last, a weak tag in a monitoring dataset is adopted to solve a model migration problem through an example-based migration learning method. Through the method, clothing information in a fashion picture set can be obtained and applied to the monitoring field through migration learning in combination with weak supervision, the information acquired through clothing analysis in the fashion field can be reserved, meanwhile, the clothing analysis effect can be improved and monitored, and data annotation workload is greatly reduced. In quantitative and qualitative tests of the actual monitoring dataset, the validity of the methodis 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

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IPC IPC(8): G06T7/11G06T7/13G06T7/136G06T7/62G06N3/08G06N3/04
CPCG06N3/08G06T7/11G06T7/13G06T7/136G06T7/62G06T2207/20081G06N3/045
Inventor 胡瑞敏郑淇黄鹏陈军梁超阮威健熊明福里想黄文军
Owner WUHAN UNIV
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