Pedestrian comparison method based on multi-scale feature fusion
A multi-scale feature and pedestrian technology, which is applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of difficult to reflect local differences, high space complexity of the method, and complicated training and calibration process, etc., to achieve unique performance and stability, reduce the computational complexity of the system, and increase the effect of space constraints
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0026] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.
[0027] like figure 1 As shown, it is an embodiment framework of a multi-scale fusion comparison method: at a low scale, the extracted color and contour features are cascaded to obtain fusion features; semi-supervised svm learning is performed on the fusion features, and the first pedestrian screening is performed. Get the candidate pedestrian set; at a high scale, use a comparison algorithm based on local feature points to calculate the similarity of each pedestrian in the filtered pedestrian set ...
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