多模式视觉跟踪:回顾与实验比较

IF 17.3 3区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Computational Visual Media Pub Date : 2024-01-03 DOI:10.1007/s41095-023-0345-5
Pengyu Zhang, Dong Wang, Huchuan Lu
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引用次数: 0

摘要

视觉物体跟踪作为计算机视觉的一项基本任务,近年来日益受到关注。为了扩大跟踪应用的范围,研究人员一直在引入多种模式的信息来处理特定场景,新兴方法和基准的研究前景广阔。为了对多模态跟踪进行全面评述,本文在统一的分类法下总结了多模态跟踪算法的不同方面,并特别关注可见深度(RGB-D)和可见热(RGB-T)跟踪。随后,详细介绍了相关基准和挑战。在五个数据集上进行了广泛的实验,以分析跟踪器的有效性:PTB、VOT19-RGBD、GTOT、RGBT234 和 VOT19-RGBT。最后,从不同角度讨论了未来的研究方向,包括模型设计和数据集构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Multi-modal visual tracking: Review and experimental comparison

Visual object tracking has been drawing increasing attention in recent years, as a fundamental task in computer vision. To extend the range of tracking applications, researchers have been introducing information from multiple modalities to handle specific scenes, with promising research prospects for emerging methods and benchmarks. To provide a thorough review of multi-modal tracking, different aspects of multi-modal tracking algorithms are summarized under a unified taxonomy, with specific focus on visible-depth (RGB-D) and visible-thermal (RGB-T) tracking. Subsequently, a detailed description of the related benchmarks and challenges is provided. Extensive experiments were conducted to analyze the effectiveness of trackers on five datasets: PTB, VOT19-RGBD, GTOT, RGBT234, and VOT19-RGBT. Finally, various future directions, including model design and dataset construction, are discussed from different perspectives for further research.

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来源期刊
Computational Visual Media
Computational Visual Media Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
16.90
自引率
5.80%
发文量
243
审稿时长
6 weeks
期刊介绍: Computational Visual Media is a peer-reviewed open access journal. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. Computational Visual Media publishes articles that focus on, but are not limited to, the following areas: • Editing and composition of visual media • Geometric computing for images and video • Geometry modeling and processing • Machine learning for visual media • Physically based animation • Realistic rendering • Recognition and understanding of visual media • Visual computing for robotics • Visualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal''s scope. This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.
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