Multiple pedestrian tracking (MPT) has gained significant attention due to its huge potential in a commercial application. It aims to predict multiple pedestrian trajectories and maintain their identities, given a video sequence. In the past decade, due to the advancement in pedestrian detection algorithms, Tracking-by-Detection (TBD) based algorithms have achieved tremendous successes. TBD has become the most popular MPT framework, and it has been actively studied in the past decade. In this paper, we give a comprehensive survey of recent advances in TBD-based MPT algorithms. We systematically analyze the existing TBD-based algorithms and organize the survey into four major parts. At first, this survey draws a timeline to introduce the milestones of TBD-based works which briefly reviews the development of the existing TBD-based methods. Second, the main procedures of the TBD framework are summarized, and each stage in the procedure is described in detail. Afterward, this survey analyzes the performance of existing TBD-based algorithms on MOT challenge datasets and discusses the factors that affect tracking performance. Finally, open issues and future directions in the TBD framework are discussed.

中文翻译：

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基于检测跟踪框架的多行人跟踪研究

多行人跟踪（MPT）由于其在商业应用中的巨大潜力而​​备受关注。给定视频序列，它旨在预测多个行人轨迹并保持其身份。在过去的十年中，由于行人检测算法的进步，基于检测跟踪（TBD）的算法取得了巨大的成功。TBD已成为最受欢迎的MPT框架，并且在过去的十年中一直在积极研究。在本文中，我们对基于TBD的MPT算法的最新进展进行了全面的综述。我们系统地分析了现有的基于TBD的算法，并将调查分为四个主要部分。首先，这项调查画出了一个时间表，介绍了基于TBD的作品的里程碑，简要回顾了现有基于TBD的方法的发展。第二，总结了TBD框架的主要过程，并详细描述了该过程的每个阶段。之后，本次调查分析了MOT挑战数据集上现有的基于TBD的算法的性能，并讨论了影响跟踪性能的因素。最后，讨论了TBD框架中的未解决问题和未来方向。