8.Tracking metrics
1.MOTA: the multiple object tracking accuracy
paper(1)附公式：(2)
2.MOTP: thei multiple object tracking precision
3.FAF:
3.GT No. of groundtruth trajectories.
4.MT
MT% Mostly tracked: Percentage of GT trajectories which are covered by
tracker output for more than 80% in length.
5.ML
5.ML% Mostly lost: Percentage of GT trajectories which are covered by tracker
output for less than 20% in length. The smaller the better.
5.
PT% Partially tracked: 1.0-MT-ML.
6.FP: false postive
7.FN: false negtive
8.IDsw IDS ID switches: The total of No. of times that a tracked trajectory changes
its matched GT identity. The smaller the better.
9.Frag
Frag Fragments: The total of No. of times that a groundtruth trajectory is
interrupted in tracking result. The smaller the better.
10.IoU
12.
Recall (Frame-based) correctly matched objects / total groundtruth objects.
13：
Precision (Frame-based) correctly matched objects / total output objects.
FA/Frm (Frame-based) No. of false alarms per frame. The smaller the better.
paper(1)附公式：(2)
2.MOTP: thei multiple object tracking precision
3.FAF:
3.GT No. of groundtruth trajectories.
4.MT
MT% Mostly tracked: Percentage of GT trajectories which are covered by
tracker output for more than 80% in length.
5.ML
5.ML% Mostly lost: Percentage of GT trajectories which are covered by tracker
output for less than 20% in length. The smaller the better.
5.
PT% Partially tracked: 1.0-MT-ML.
6.FP: false postive
7.FN: false negtive
8.IDsw IDS ID switches: The total of No. of times that a tracked trajectory changes
its matched GT identity. The smaller the better.
9.Frag
Frag Fragments: The total of No. of times that a groundtruth trajectory is
interrupted in tracking result. The smaller the better.
10.IoU
12.
Recall (Frame-based) correctly matched objects / total groundtruth objects.
13：
Precision (Frame-based) correctly matched objects / total output objects.
FA/Frm (Frame-based) No. of false alarms per frame. The smaller the better.
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