基于通道可靠性和异常抑制的目标跟踪算法
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国强,吴天昊,徐伟,KALIUZHNYMykola
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Target tracking algorithm based on channel reliability and aberrance repression
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Qiang GUO,Tian-hao WU,Wei XU,Mykola KALIUZHNY
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表 3 在不同属性的OTB2015数据集上不同算法的重叠成功率曲线下面积 |
Tab.3 Area under curve of different algorithms on OTB2015 dataset with different attributes |
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算法 | AUC | IV | SV | OC | DEF | MB | FM | IPR | OPR | OV | BC | LR | % | 本研究 | 66.6 | 63.6 | 62.8 | 61.8 | 66.4 | 63.5 | 60.7 | 63.7 | 60.2 | 66.3 | 54.6 | BACF | 62.2 | 57.2 | 56.5 | 57.1 | 57.5 | 59.9 | 58.2 | 57.8 | 54.8 | 60.5 | 53.2 | STRCF | 65.2 | 63.1 | 61.4 | 60.5 | 65.2 | 62.8 | 60.2 | 62.6 | 58.3 | 64.7 | 53.8 | DeepSRDCF | 62.4 | 60.7 | 60.3 | 56.7 | 64.2 | 62.8 | 58.9 | 60.7 | 55.3 | 62.7 | 47.5 | SRDCF | 60.7 | 55.9 | 55.4 | 54.1 | 59.4 | 59.7 | 54.1 | 54.7 | 46.1 | 58.2 | 49.5 | SRDCFDecon | 64.7 | 60.7 | 58.8 | 55.2 | 63.9 | 60.6 | 57.3 | 59.1 | 51.0 | 64.1 | 49.2 | ARCF | 60.0 | 56.1 | 56.0 | 58.3 | 60.5 | 59.1 | 56.2 | 55.9 | 50.0 | 58.8 | 51.2 | AutoTrack | 60.4 | 54.2 | 55.5 | 55.9 | 58.5 | 58.3 | 55.4 | 55.5 | 53.4 | 56.2 | 54.0 | DRCF | 56.8 | 51.7 | 52.7 | 54.0 | 59.4 | 59.0 | 52.4 | 52.8 | 49.0 | 57.1 | 45.2 | ECO_HC | 60.3 | 59.2 | 58.7 | 58.7 | 60.4 | 61.8 | 55.3 | 58.7 | 56.0 | 60.3 | 58.9 | HCF | 55.0 | 48.5 | 53.3 | 53.0 | 58.5 | 57.0 | 56.6 | 54.0 | 47.4 | 58.5 | 43.9 | HDT | 52.9 | 47.7 | 52.2 | 54.0 | 57.7 | 55.5 | 53.6 | 52.8 | 45.3 | 54.4 | 46.3 | SiamFC | 57.4 | 55.6 | 54.7 | 51.0 | 55.0 | 56.8 | 55.7 | 55.8 | 50.6 | 52.3 | 59.2 | FAST | 59.8 | 52.1 | 53.6 | 51.1 | 50.1 | 50.7 | 53.5 | 56.4 | 47.8 | 58.9 | 50.8 | SITUP | 55.4 | 53.1 | 55.6 | 50.4 | 57.4 | 54.2 | 54.0 | 55.8 | 52.0 | 57.2 | 43.4 | LCT | 51.7 | 42.8 | 47.6 | 48.1 | 51.6 | 50.7 | 52.9 | 50.5 | 44.6 | 52.8 | 29.9 | KCF | 48.2 | 39.5 | 44.5 | 43.8 | 45.9 | 45.9 | 46.9 | 45.3 | 39.3 | 49.8 | 30.7 |
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