利用高斯混杂概率假设密度滤波器中的知识图谱集成增强多目标跟踪稳定性

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ali Mehrizi, Hadi Sadoghi Yazdi
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引用次数: 0

摘要

本文提出了一种新颖的方法,用于在摄像机频繁遮挡的视频中加强对车辆的多目标跟踪。我们的方法将有关车辆行为的先验知识整合到高斯混合概率假设密度(GMPHD)滤波器框架中。这些知识是从历史车辆轨迹中提取的知识图谱,即使在出现重大中断时,跟踪器也能保持持续跟踪。知识图谱对预期运动模式进行建模,并在闭塞期间生成伪观测数据,这与时间序列分析利用历史数据进行预测的方法类似。我们在模拟和真实世界的视频数据集上使用最佳子模式分配(OSPA)指标对所提出的方法进行了评估,该指标用于评估跟踪精度。结果表明,在完全遮挡的条件下,模拟数据的性能提高了 19.5%,真实世界视频数据的性能提高了 16.5%,这表明该方法的性能显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhancing multi-target tracking stability using knowledge graph integration within the Gaussian Mixture Probability Hypothesis Density Filter

Enhancing multi-target tracking stability using knowledge graph integration within the Gaussian Mixture Probability Hypothesis Density Filter

This paper proposes a novel approach to enhancing multi-target tracking of vehicles in videos with frequent camera occlusions. Our method integrates prior knowledge about vehicle behavior into a Gaussian Mixture Probability Hypothesis Density (GMPHD) filter framework. This knowledge, extracted as a knowledge graph from historical vehicle trajectories, allows the tracker to maintain persistence even during significant interruptions. The knowledge graph models expected movement patterns and generates pseudo-observations during occlusions, similar to how time series analysis leverages historical data for forecasting. We evaluate the proposed method on both simulated and real-world video datasets using the Optimal Sub Pattern Assignment (OSPA) metric, which assesses tracking accuracy. The results show a 19.5% improvement for simulated data and a 16.5% improvement for real-world video data under fully occluded conditions, demonstrating a significant enhancement in performance.

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来源期刊
Multimedia Tools and Applications
Multimedia Tools and Applications 工程技术-工程:电子与电气
CiteScore
7.20
自引率
16.70%
发文量
2439
审稿时长
9.2 months
期刊介绍: Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools as well as case studies of multimedia applications. It also features experimental and survey articles. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include: - Multimedia Tools: - Multimedia Applications: - Prototype multimedia systems and platforms
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