Anomaly Event Detection Based on Two-Stream Network and Multi-instance Learning

Xianbin Yang; Jianwu Dang; Song Wang; Yangping Wang

doi:10.3788/LOP202158.2015006

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 20 >Page 2015006 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 20, 2015006 (2021)

Anomaly Event Detection Based on Two-Stream Network and Multi-instance Learning

Xianbin Yang¹, Jianwu Dang^1、2、*, Song Wang^1、2, and Yangping Wang^2、3

Author Affiliations

¹School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

²Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphic & Image Processing, Lanzhou, Gansu 730070, China;

³National Experimental Teaching Demonstration Center of Computer Science and technology, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

show less

DOI: 10.3788/LOP202158.2015006 Cite this Article Set citation alerts

Xianbin Yang, Jianwu Dang, Song Wang, Yangping Wang. Anomaly Event Detection Based on Two-Stream Network and Multi-instance Learning[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015006 Copy Citation Text

show less

Xianbin Yang, Jianwu Dang, Song Wang, Yangping Wang. Anomaly Event Detection Based on Two-Stream Network and Multi-instance Learning[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015006

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information