Journal of Computer Applications ›› 2022, Vol. 42 ›› Issue (9): 2893-2899.DOI: 10.11772/j.issn.1001-9081.2021071286
• Multimedia computing and computer simulation • Previous Articles
Yi ZHANG(), Yongrong SUN, Kedong ZHAO, Hua LI, Qinghua ZENG
Received:
2021-07-16
Revised:
2021-09-07
Accepted:
2021-09-14
Online:
2021-09-27
Published:
2022-09-10
Contact:
Yi ZHANG
About author:
SUN Yongrong, born in 1969, Ph. D., professor. His research interests include inertial navigation and integrated navigation, visual navigation, avionics system and control.通讯作者:
张怡
作者简介:
孙永荣(1969—),男,江苏海安人,教授,博士,主要研究方向:惯性导航与组合导航、视觉导航、航空电子系统及控制;CLC Number:
Yi ZHANG, Yongrong SUN, Kedong ZHAO, Hua LI, Qinghua ZENG. Joint detection and tracking algorithm of target in aerial refueling scenes[J]. Journal of Computer Applications, 2022, 42(9): 2893-2899.
张怡, 孙永荣, 赵科东, 李华, 曾庆化. 空中加油场景下的目标联合检测跟踪算法[J]. 《计算机应用》唯一官方网站, 2022, 42(9): 2893-2899.
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URL: http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2021071286
指标 | 具体说明 |
---|---|
Rcll | 召回率(Recall) |
Prcn | 精确率(Precision) |
MOTA | 跟踪的准确度(Multi-Object Tracking Accuracy) |
IDF1 | 识别精度和识别召回率的调和平均(ID F1 score) |
MT | 命中的轨迹占总轨迹的占比(Mostly Tracked targets),一般选取80%作为基准值 |
ML | 丢失的轨迹占总轨迹的占比(Mostly Lost targets),一般选取20%作为基准值 |
FP | 误检的总数量(False Positives) |
FN | 漏检的总数量(False Negatives) |
IDs | ID改变的总数量(IDentity Switches) |
Tab.1 Part of evaluation indicators on MOT17 dataset
指标 | 具体说明 |
---|---|
Rcll | 召回率(Recall) |
Prcn | 精确率(Precision) |
MOTA | 跟踪的准确度(Multi-Object Tracking Accuracy) |
IDF1 | 识别精度和识别召回率的调和平均(ID F1 score) |
MT | 命中的轨迹占总轨迹的占比(Mostly Tracked targets),一般选取80%作为基准值 |
ML | 丢失的轨迹占总轨迹的占比(Mostly Lost targets),一般选取20%作为基准值 |
FP | 误检的总数量(False Positives) |
FN | 漏检的总数量(False Negatives) |
IDs | ID改变的总数量(IDentity Switches) |
网络 | Rcll/% | Prcn/% | MOTA/% | IDF1/% | MT/% | ML/% | FP | FN | IDs |
---|---|---|---|---|---|---|---|---|---|
CenterTrack | 71.60 | 94.10 | 66.10 | 64.20 | 41.30 | 21.20 | 2 442 | 15 286 | 528 |
Tiny-CenterTrack | 71.60 | 92.50 | 64.40 | 66.40 | 37.80 | 16.20 | 3 105 | 15 326 | 748 |
Tab.2 Comparison of evaluation results on MOT17-FRCNN dataset
网络 | Rcll/% | Prcn/% | MOTA/% | IDF1/% | MT/% | ML/% | FP | FN | IDs |
---|---|---|---|---|---|---|---|---|---|
CenterTrack | 71.60 | 94.10 | 66.10 | 64.20 | 41.30 | 21.20 | 2 442 | 15 286 | 528 |
Tiny-CenterTrack | 71.60 | 92.50 | 64.40 | 66.40 | 37.80 | 16.20 | 3 105 | 15 326 | 748 |
网络 | MOTA/% | IDF1/% | MT/% | ML/% | IDs |
---|---|---|---|---|---|
CenterTrack | 61.50 | 59.60 | 26.40 | 31.90 | 2 583 |
Tracktor v2 | 56.50 | 55.10 | 21.10 | 35.30 | 3 763 |
FFT | 56.50 | 51.00 | 26.20 | 26.70 | 5 672 |
MPNTrack | 55.70 | 59.10 | 27.20 | 34.40 | 1 433 |
LSST17 | 54.70 | 62.30 | 20.40 | 40.10 | 1 243 |
Tracktor | 53.50 | 52.30 | 19.50 | 36.60 | 2 072 |
MOTDT | 50.90 | 52.70 | 17.50 | 35.70 | 2 474 |
Tiny-CenterTrack(public) | 62.30 | 64.80 | 33.20 | 22.10 | 1 545 |
CenterTrack(private) | 67.80 | 64.70 | 34.60 | 24.60 | 3 039 |
Tiny-CenterTrack(private) | 64.20 | 66.70 | 33.60 | 20.10 | 1 938 |
Tab.3 Comparison of evaluation results on MOT17 dataset
网络 | MOTA/% | IDF1/% | MT/% | ML/% | IDs |
---|---|---|---|---|---|
CenterTrack | 61.50 | 59.60 | 26.40 | 31.90 | 2 583 |
Tracktor v2 | 56.50 | 55.10 | 21.10 | 35.30 | 3 763 |
FFT | 56.50 | 51.00 | 26.20 | 26.70 | 5 672 |
MPNTrack | 55.70 | 59.10 | 27.20 | 34.40 | 1 433 |
LSST17 | 54.70 | 62.30 | 20.40 | 40.10 | 1 243 |
Tracktor | 53.50 | 52.30 | 19.50 | 36.60 | 2 072 |
MOTDT | 50.90 | 52.70 | 17.50 | 35.70 | 2 474 |
Tiny-CenterTrack(public) | 62.30 | 64.80 | 33.20 | 22.10 | 1 545 |
CenterTrack(private) | 67.80 | 64.70 | 34.60 | 24.60 | 3 039 |
Tiny-CenterTrack(private) | 64.20 | 66.70 | 33.60 | 20.10 | 1 938 |
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