Wenqi Zhang , Xinqiang Li , Xingyu Liu , Shiteng Lu , Huanling Tang
{"title":"Facing challenges: A survey of object tracking","authors":"Wenqi Zhang , Xinqiang Li , Xingyu Liu , Shiteng Lu , Huanling Tang","doi":"10.1016/j.dsp.2025.105082","DOIUrl":null,"url":null,"abstract":"<div><div>Object tracking, regarded as one of the most fundamental and challenging problems in computer vision, has attracted considerable attention in recent years. Researchers have conducted extensive studies on object tracking. However, research focused on challenges is rare. This paper concentrates on the challenges of object tracking in different periods, analyzing the reasons behind these challenges. In this paper, we have also consulted related work on object tracking from multiple aspects, including solutions based on challenges, popular application directions, and future prospects. It is expected that this paper will offer valuable references for researchers, and promote the innovation and advancement of object tracking technology in various fields.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"161 ","pages":"Article 105082"},"PeriodicalIF":2.9000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051200425001046","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Object tracking, regarded as one of the most fundamental and challenging problems in computer vision, has attracted considerable attention in recent years. Researchers have conducted extensive studies on object tracking. However, research focused on challenges is rare. This paper concentrates on the challenges of object tracking in different periods, analyzing the reasons behind these challenges. In this paper, we have also consulted related work on object tracking from multiple aspects, including solutions based on challenges, popular application directions, and future prospects. It is expected that this paper will offer valuable references for researchers, and promote the innovation and advancement of object tracking technology in various fields.
期刊介绍:
Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal.
The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as:
• big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,