作者：Feng Yan, Zhiheng Li, Weixin Luo, Zequn jie, Fan Liang, Xiaolin Wei, Lin Ma

作者单位：美团

发布时间：2022

发布期刊/会议：Arxiv

出版商：

**论文全称：**Multiple Object Tracking Challenge Technical Report for Team MT IoT

论文地址：

Multiple Object Tracking Challenge Technical Report for Team MT_IoT

论文代码：

https://github.com/BingfengYan/DS_OCSORT

地位：美团IoT 团队对于多目标跟踪挑战的一个Report

个人理解

• 创新点：
• 为什么：
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一、摘要

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.

• 设计了一种改进的行人检测器，并将大部分检测关联起来，以保证运动轨迹的完整性
• 提出了一个位置匹配矩阵（location-wise matching matrix），以获得更精确的轨迹匹配