An Overview of Object Detection and Tracking Algorithms

With the development of information technology, the vision-based detection and tracking of moving objects is gradually penetrating into all aspects of people’s lives, and its importance is becoming more prominent, attracting more and more scientists and research institutions at home and abroad to pa...

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Main Authors: Kehao Du, Alexander Bobkov
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/33/1/22
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author Kehao Du
Alexander Bobkov
author_facet Kehao Du
Alexander Bobkov
author_sort Kehao Du
collection DOAJ
description With the development of information technology, the vision-based detection and tracking of moving objects is gradually penetrating into all aspects of people’s lives, and its importance is becoming more prominent, attracting more and more scientists and research institutions at home and abroad to participate in research in this field. With in-depth research into vision-based object detection and tracking, various superior algorithms have appeared in recent years. In this article, we attempt to compare some of the classic algorithms in this area of detection and tracking that have appeared recently. This article examines and summarizes two areas: the detection and the tracking of moving objects. First, we divide object detection into one-stage algorithms and two-stage algorithms depending on whether a region proposal should be generated, and we accordingly outline some commonly used object detection algorithms. Second, we separate object tracking into the KCF and SORT algorithms according to the differences in the underlying algorithms.
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spelling doaj.art-4e8a463f9fbe473c9f14ed0220120f3c2023-12-22T14:06:44ZengMDPI AGEngineering Proceedings2673-45912023-06-013312210.3390/engproc2023033022An Overview of Object Detection and Tracking AlgorithmsKehao Du0Alexander Bobkov1Department of Informatics and Control Systems, Bauman Moscow State Technical University, 105005 Moscow, RussiaDepartment of Informatics and Control Systems, Bauman Moscow State Technical University, 105005 Moscow, RussiaWith the development of information technology, the vision-based detection and tracking of moving objects is gradually penetrating into all aspects of people’s lives, and its importance is becoming more prominent, attracting more and more scientists and research institutions at home and abroad to participate in research in this field. With in-depth research into vision-based object detection and tracking, various superior algorithms have appeared in recent years. In this article, we attempt to compare some of the classic algorithms in this area of detection and tracking that have appeared recently. This article examines and summarizes two areas: the detection and the tracking of moving objects. First, we divide object detection into one-stage algorithms and two-stage algorithms depending on whether a region proposal should be generated, and we accordingly outline some commonly used object detection algorithms. Second, we separate object tracking into the KCF and SORT algorithms according to the differences in the underlying algorithms.https://www.mdpi.com/2673-4591/33/1/22region proposalR-CNNFast R-CNNFaster R-CNNYOLOMOSSE
spellingShingle Kehao Du
Alexander Bobkov
An Overview of Object Detection and Tracking Algorithms
Engineering Proceedings
region proposal
R-CNN
Fast R-CNN
Faster R-CNN
YOLO
MOSSE
title An Overview of Object Detection and Tracking Algorithms
title_full An Overview of Object Detection and Tracking Algorithms
title_fullStr An Overview of Object Detection and Tracking Algorithms
title_full_unstemmed An Overview of Object Detection and Tracking Algorithms
title_short An Overview of Object Detection and Tracking Algorithms
title_sort overview of object detection and tracking algorithms
topic region proposal
R-CNN
Fast R-CNN
Faster R-CNN
YOLO
MOSSE
url https://www.mdpi.com/2673-4591/33/1/22
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