Person Re-identification With Limited Supervision (Synthesis Lectures on Computer Vision)
Author: Rameswar Panda and Amit K. Roy-chowdhury
Publisher Finelybook 出版社：Morgan & Claypool (September 30, 2021)
pages 页数：98 pages
Person re-identification is the problem of associating observations of targets in different non-overlapping cameras. Most of the existing learning-based methods have resulted in improved performance on standard re-identification benchmarks, but at the cost of time-consuming and tediously labeled data. Motivated Author: this, learning person re-identification models with limited to no supervision has drawn a great deal of attention in recent years.
In this book, we provide an overview of some of the literature in person re-identification, and then move on to focus on some specific problems in the context of person re-identification with limited supervision in multi-camera environments. We expect this to lead to interesting problems for researchers to consider in the future, beyond the conventional fully supervised setup that has been the framework for a lot of work in person re-identification.