基于多尺度外观运动融合的视频异常检测
赵明华,吕雨萱,吕佳豪,陈逸飞,石程,胡静

Video anomaly detection based on multi-scale appearance and motion fusion
Minghua ZHAO,Yuxuan LYU,Jiahao LYU,Yifei CHEN,Cheng SHI,Jing HU
表 2 所提方法与先进方法在AUC指标上的对比
Tab.2 Comparison of proposed method and advanced methods in terms of AUC metric
类型方法AUC/%
Ped2AvenueSHT
重建MemAE[1]94.183.371.2
Astrid等[36]94.884.972.5
GMFC-VAE[37]92.283.4
CR-AE[38]95.673.1
MESDnet[35]95.686.373.2
预测Park等[9]97.088.570.5
Liu等[8]95.485.172.8
MPN[19]96.989.573.8
Conv-VRNN[12]96.185.8
FSCN[13]92.885.5
AMMC-Net[11]96.686.673.7
Li等[16]96.587.173.6
PDM-Net[39]97.788.174.2
GroupGAN[40]96.688.174.2
AMAE[41]97.488.273.6
本研究99.188.574.5