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. 2023 Mar 7:1–25. Online ahead of print. doi: 10.1007/s11042-023-14416-y

Table 2.

Results of the proposed method in the defined evaluation sequences

Seq Cam ID MOTA MT PT ML FRAG FRAG ratio P R F1 APE
1 1,2 1.000 8 0 0 0 0.000 1.000 1.000 1.000 0.094
1 1 1.000 7 0 0 0 0.000 1.000 1.000 1.000 0.089
1 2 1.000 8 0 0 0 0.000 1.000 1.000 1.000 0.069
2 1,2 0.994 12 0 0 0 0.000 0.994 1.000 0.997 0.151
2 1 1.000 9 0 0 0 0.000 1.000 1.000 1.000 0.071
2 2 0.993 11 0 0 0 0.000 0.993 1.000 0.997 0.063
3 1,2 0.965 5 0 0 6 0.061 0.998 0.977 0.987 0.136
3 1 0.973 9 0 0 8 0.081 0.999 0.984 0.991 0.084
3 2 0.966 10 1 0 2 0.021 0.999 0.975 0.986 0.077
4 1,2 0.966 5 0 0 6 0.061 0.983 0.989 0.986 0.155
4 1 0.997 25 0 0 1 0.010 1.000 0.999 0.999 0.085
4 2 0.983 22 1 0 6 0.061 1.000 0.986 0.993 0.095
5 1,2 0.975 10 0 1 3 0.031 0.999 0.984 0.991 0.186
5 1 0.952 7 1 0 11 0.115 0.999 0.957 0.978 0.097
5 2 0.991 12 1 0 1 0.010 1.000 0.993 0.996 0.085
6 1 0.982 6 0 0 3 0.031 0.999 0.983 0.991 0.089
7 1 0.935 13 1 0 15 0.157 0.986 0.957 0.971 0.112

The considered metrics, described in Section 4.1, measure the quality of the generated tracks and the accuracy of the positioning. For multi-camera sequences, we also run the system for each camera separately