MOT多目标跟踪评价指标

MOT网址：

https://motchallenge.net/results/MOT17/

 

指标

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Avg Rank：这是每个跟踪器在所有当前评估测量中的平均等级

MOTA：Multiple Object Tracking Accuracy，该度量结合了三个错误来源：false positives，missed targets和identity switches

MOTP：Multiple Object Tracking Precision，标注和预测的边界框之间的不对齐

IDF1：ID F1 Score，正确识别的检测与真实数和计算检测的平均数之比

FAF：每帧的平均误报数

MT：Mostly tracked targets，轨迹覆盖至少80%以上

ML：Mostly lost targets，轨迹覆盖至多20%

ID Sw.

Frag：轨迹被中断的总次数

Hz：基准测试的处理速度（以每秒帧数为单位，不包括检测的时间）

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[1]	Bernardin, K. & Stiefelhagen, R. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics. Image and Video Processing, 2008(1):1-10, 2008.
[2]	Ristani, E., Solera, F., Zou, R., Cucchiara, R. & Tomasi, C. Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking. In ECCV workshop on Benchmarking Multi-Target Tracking, 2016.
[3]	Li, Y., Huang, C. & Nevatia, R. Learning to associate: HybridBoosted multi-target tracker for crowded scene. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2009.