Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder | |
Li, Nanjun; Chang, Faliang | |
刊名 | NEUROCOMPUTING |
2019 | |
卷号 | 369页码:92-105 |
关键词 | Anomaly detection Video surveillance Adversarial autoencoder 3D Gradient Optical flow Two-stream framework |
DOI | 10.1016/j.neucom.2019.08.044 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4553543 |
专题 | 山东大学 |
作者单位 | Shandong Univ, Sch Control Sci & Engn, 17923 Jingshi Rd, Jinan 250061, Shandong, Peoples R China. |
推荐引用方式 GB/T 7714 | Li, Nanjun,Chang, Faliang. Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder[J]. NEUROCOMPUTING,2019,369:92-105. |
APA | Li, Nanjun,&Chang, Faliang.(2019).Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder.NEUROCOMPUTING,369,92-105. |
MLA | Li, Nanjun,et al."Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder".NEUROCOMPUTING 369(2019):92-105. |
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