Asset Details
Do you wish to reserve the book?
A Review of Multi‐Object Tracking in Recent Times
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A Review of Multi‐Object Tracking in Recent Times
Do you wish to request the book?
A Review of Multi‐Object Tracking in Recent Times
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A Review of Multi‐Object Tracking in Recent Times
2025
Overview
Multi‐object tracking (MOT) is a fundamental problem in computer vision that involves tracing the trajectories of foreground targets throughout a video sequence while establishing correspondences for identical objects across frames. With the advancement of deep learning techniques, methods based on deep learning have significantly improved accuracy and efficiency in MOT. This paper reviews several recent deep learning‐based MOT methods and categorises them into three main groups: detection‐based, single‐object tracking (SOT)‐based, and segmentation‐based methods, according to their core technologies. Additionally, this paper discusses the metrics and datasets used for evaluating MOT performance, the challenges faced in the field, and future directions for research. This paper discusses many recent deep‐learning MOT methods. Moreover, to highlight their contributions, these methods are categorised into four main groups: detection‐based, SOT‐based, and segmentation‐based methods according to the integrated core technologies.
Publisher
John Wiley & Sons, Inc
Subject
