论文标题
GMOT-40:通用多个对象跟踪的基准
GMOT-40: A Benchmark for Generic Multiple Object Tracking
论文作者
论文摘要
近年来,多个对象跟踪(MOT)见证了显着的进步。但是,现有研究主要要求对跟踪目标的先验知识,因此可能无法很好地概括为看不见的类别。相比之下,几乎不需要关于目标的事先信息的通用多重对象跟踪(GMOT)在很大程度上探索了。在本文中,我们做出了贡献,以在三个方面提高GMOT的研究。首先,我们构建了第一个被称为GMOT-40的公共GMOT数据集,该数据集包含40个仔细注释的序列均匀分布在10个对象类别之间。此外,采用了两个跟踪协议来评估跟踪算法的不同特征。其次,通过注意缺乏专门的跟踪算法,我们设计了一系列基线GMOT算法。第三,我们对GMOT-40进行了彻底的评估,涉及流行的MOT算法(具有必要的修改)和拟议的基准。我们将在本文发布后向公众发布GMOT-40基准,评估结果以及基线算法。
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.