基于特征的目标检测与跟踪:系统的文献综述

IF 0.8 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING International Journal of Image and Graphics Pub Date : 2023-02-03 DOI:10.1142/s0219467824500372
Nurul Izzatie Husna Fauzi, Z. Musa, Fadhl Hujainah
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引用次数: 0

摘要

正确的物体检测在生成准确的物体跟踪结果方面起着关键作用。基于特征的方法具有处理提取对象特征的关键过程的能力。本文旨在研究基于特征的目标跟踪方法,包括(1)识别和分析现有的方法;(2) 报告和仔细审查评估绩效矩阵及其在衡量目标跟踪和检测有效性方面的实施用途;(3) 揭示和调查影响已识别跟踪方法准确性性能的挑战;(4) 根据报告的评估绩效矩阵,衡量已确定方法的有效性,以揭示挑战对准确性和精度的影响程度;以及(5)提出未来可能的改进方向。本研究的综述过程是根据Kitchenam和Charters的标准系统文献综述(SLR)指南进行的。最初,确定了157项前瞻性研究。通过严格的研究选择策略,选择了32项相关研究来解决列出的研究问题。对32种方法进行了识别和分析,介绍了改进和取得的成果,并对基于特征的方法在检测和跟踪过程中的分类提出了新的展望。
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Feature-Based Object Detection and Tracking: A Systematic Literature Review
Correct object detection plays a key role in generating an accurate object tracking result. Feature-based methods have the capability of handling the critical process of extracting features of an object. This paper aims to investigate object tracking using feature-based methods in terms of (1) identifying and analyzing the existing methods; (2) reporting and scrutinizing the evaluation performance matrices and their implementation usage in measuring the effectiveness of object tracking and detection; (3) revealing and investigating the challenges that affect the accuracy performance of identified tracking methods; (4) measuring the effectiveness of identified methods in terms of revealing to what extent the challenges can impact the accuracy and precision performance based on the evaluation performance matrices reported; and (5) presenting the potential future directions for improvement. The review process of this research was conducted based on standard systematic literature review (SLR) guidelines by Kitchenam’s and Charters’. Initially, 157 prospective studies were identified. Through a rigorous study selection strategy, 32 relevant studies were selected to address the listed research questions. Thirty-two methods were identified and analyzed in terms of their aims, introduced improvements, and results achieved, along with presenting a new outlook on the classification of identified methods based on the feature-based method used in detection and tracking process.
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来源期刊
International Journal of Image and Graphics
International Journal of Image and Graphics COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.40
自引率
18.80%
发文量
67
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