Pedestrian repeat identification measurement learning method

A pedestrian re-identification and metric learning technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problem of over-fitting of metric learning technology, achieve strong generalization ability, reduce the occurrence of metric over-fitting, and measure Excellent effect

Inactive Publication Date: 2017-06-06
HUAZHONG UNIV OF SCI & TECH
View PDF5 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a metric learning method for pedestrian re-identification, with the purpose of providing a metric learning method based on isometric constraints and solving the over-fitting problem existing in existing metric learning techniques

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pedestrian repeat identification measurement learning method
  • Pedestrian repeat identification measurement learning method
  • Pedestrian repeat identification measurement learning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0029] The terms used in the present invention are firstly explained and described below.

[0030] Positive semi-definite matrix: An n*n Hermitian matrix M is positive definite if and only if for each non-zero complex vector z, there is z * Mz>0, then M is called a positive definite matrix, where z * Represents the conjugate transpose of z. when z * Mz>0 weakens to z * When Mz≥0, M is said ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention discloses a pedestrian repeat identification measurement learning method. The method comprises the following steps: establishing the set of pedestrian target features in different cameras; employing the Mahalanobis distance measurement mode, adding the constraint condition to restrain the feature measurement distance of the same target in different cameras to be zero and restrain the feature distance of different targets to be a constant [Mu] ([Mu]>0); and finally, establishing a loss function and optimizing the structure, obtaining an optimal measurement matrix satisfying the constraint condition through iteration by employing the projection gradient descent method, and completing the measurement learning process. The pedestrian repeat identification measurement learning method can effectively solve the problems of the overfitting phenomenon and measurement matrix sensitive to the noise in the current measurement learning method, and is suitable for the pedestrian repeat identification application occasions in complex scenes.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and more particularly relates to a metric learning method and system for pedestrian re-identification. Background technique [0002] Pedestrian re-identification algorithm is one of the important fields of image processing and pattern recognition research, focusing on the recognition of specific target pedestrians under cameras without public view. At present, the more common method is to find a feature expression based on the appearance of pedestrians, mainly including information such as color and texture, and then use a suitable measurement method to calculate the similarity between objects and sort the output. Because the same target is affected by factors such as viewing angle, illumination, and object occlusion under different cameras, there are often deviations in the expression of its features under different viewing angles. In addition to selecting a more robust feature expre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06F18/2132
Inventor 桑农陈科舟王金高常鑫李志强李亚成
Owner HUAZHONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap