Multiple Object Tracking (MOT) has witnessed remarkable advances in recent years. However, existing studies dominantly request prior knowledge of the tracking target, and hence may not generalize well to unseen categories. In contrast, Generic Multiple Object Tracking (GMOT), which requires little prior information about the target, is largely under-explored. In this paper, we make contributions to boost the study of GMOT in three aspects. First, we construct the first public GMOT dataset, dubbed GMOT-40, which contains 40 carefully annotated sequences evenly distributed among 10 object categories. In addition, two tracking protocols are adopted to evaluate different characteristics of tracking algorithms. Second, by noting the lack of devoted tracking algorithms, we have designed a series of baseline GMOT algorithms. Third, we perform a thorough evaluation on GMOT-40, involving popular MOT algorithms (with necessary modifications) and the proposed baselines. We will release the GMOT-40 benchmark, the evaluation results, as well as the baseline algorithm to the public upon the publication of the paper.

中文翻译：

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GMOT-40：通用多对象跟踪的基准

近年来，多对象跟踪（MOT）取得了显着进步。但是，现有研究主要要求先了解跟踪目标，因此可能无法很好地推广到看不见的类别。相比之下，对目标几乎不需要先验信息的通用多对象跟踪（GMOT）在很大程度上尚未得到开发。在本文中，我们从三个方面为促进GMOT的研究做出了贡献。首先，我们构建第一个公开的GMOT数据集，称为GMOT-40，其中包含40个精心注释的序列，这些序列均匀分布在10个对象类别中。另外，采用两种跟踪协议来评估跟踪算法的不同特性。其次，通过注意到缺乏专用的跟踪算法，我们设计了一系列基线GMOT算法。第三，我们对GMOT-40进行了全面的评估，其中涉及流行的MOT算法（进行了必要的修改）和提出的基准。论文发表后，我们将向公众发布GMOT-40基准，评估结果以及基线算法。