A method and system for re-identification of people changing clothes based on autoencoder network
A self-encoding network and pedestrian re-identification technology, which is applied in the field of pedestrian re-identification methods and systems for changing clothes, can solve the problems of lack of training data, unsatisfactory effects, and hinder the commercialization of pedestrian re-identification methods, and achieve the effect of good model performance.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0052] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.
[0053] Such as figure 1 As shown, a re-identification method based on autoencoder network for pedestrians changing clothes, including the following steps:
[0054] S01, using the pedestrian part parser to generate a mask for the pedestrian's clothing part in the pedestrian picture;
[0055] S02, extract the clothing part in the pedestrian picture according to the mask, and use a trained clothing feature encoder E A Get the clothes feature representation vector;
[0056] S03, remove the clothing part in the pedestrian picture according to the mask, use the trained clothes changing picture generator G, use the clothes feature representation vector and the pedestrian picture with the clothes remo...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com