论文标题
MT_IOT团队的多个对象跟踪挑战技术报告
Multiple Object Tracking Challenge Technical Report for Team MT_IoT
论文作者
论文摘要
这是我们提出的针对复杂环境中多物体跟踪（MOT）挑战的方法的简短技术报告。在本文中，我们将MOT任务视为两阶段任务，包括人类的检测和轨迹匹配。具体而言，我们设计了改进的人类探测器，并将大部分检测与大部分检测相关联，以确保运动轨迹的完整性。我们还建议通过位置匹配矩阵获得更准确的痕量匹配。在没有任何模型合并的情况下，我们的方法在Dancetrack挑战数据集上实现了66.672 HOTA和93.971 MOTA。
This is a brief technical report of our proposed method for Multiple-Object Tracking (MOT) Challenge in Complex Environments. In this paper, we treat the MOT task as a two-stage task including human detection and trajectory matching. Specifically, we designed an improved human detector and associated most of detection to guarantee the integrity of the motion trajectory. We also propose a location-wise matching matrix to obtain more accurate trace matching. Without any model merging, our method achieves 66.672 HOTA and 93.971 MOTA on the DanceTrack challenge dataset.
