基于深度网络模型的视频序列中异常行为的检测方法

吴沛佶; 梅雪; 何毅; 袁申强

doi:doi:10.3788/LOP56.131101

激光与光电子学进展, 2019, 56 (13): 131101, 网络出版: 2019-07-11

基于深度网络模型的视频序列中异常行为的检测方法下载： 1234次

Method of Detecting Abnormal Behavior in Video Sequences Based on Deep Network Models

吴沛佶 ^*梅雪何毅袁申强

作者单位

南京工业大学电气工程与控制科学学院, 江苏南京 211816

引用该论文

吴沛佶, 梅雪, 何毅, 袁申强. 基于深度网络模型的视频序列中异常行为的检测方法[J]. 激光与光电子学进展, 2019, 56(13): 131101.

Peiji Wu, Xue Mei, Yi He, Shenqiang Yuan. Method of Detecting Abnormal Behavior in Video Sequences Based on Deep Network Models[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131101.

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吴沛佶, 梅雪, 何毅, 袁申强. 基于深度网络模型的视频序列中异常行为的检测方法[J]. 激光与光电子学进展, 2019, 56(13): 131101. Peiji Wu, Xue Mei, Yi He, Shenqiang Yuan. Method of Detecting Abnormal Behavior in Video Sequences Based on Deep Network Models[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131101.

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