Survey of deep learning to re-identify people seen by multiple cameras


Survey of deep learning to re-identify people seen by multiple cameras

Deep Learning Based Person Re-Identification Methods: A Survey and Outlook of Recent Works
arXiv paper abstract
arXiv PDF paper

… person re-identification (Re-ID) … goal is to retrieve persons with the same identity from different cameras.

… To facilitate researchers to better understand the latest research results and future development trends in this field.

Firstly, we compare traditional and deep learning-based person Re-ID methods,

and present the main contributions of several person Re-ID surveys, and analyze their focused dimensions and shortcomings.

Secondly, we focus on the current classic deep learning-based person Re-ID methods,

including methods for deep metric learning, local feature learning, generate adversarial networks, sequence feature learning, and graph convolutional networks.

Furthermore, we subdivide the above five categories according to their technique types,

analyzing and comparing the experimental performance of part subcategories of the method.

Finally, we discuss the challenges that remain in the field of person Re-ID field and prospects for future research directions.

Stay up to date. Subscribe to my posts
Web site with my other posts by category


Photo by Maxim Hopman on Unsplash



AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.