Two-stream deep spatial-temporal auto-encoder for surveillance video abnormal event detection

Neurocomputing ◽

10.1016/j.neucom.2021.01.097 ◽

2021 ◽

Vol 439 ◽

pp. 256-270

Author(s):

Tong Li ◽

Xinyue Chen ◽

Fushun Zhu ◽

Zhengyu Zhang ◽

Hua Yan

Keyword(s):

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection

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Abnormal Event Detection from Surveillance Video by Dynamic Hierarchical Clustering

2007 IEEE International Conference on Image Processing ◽

10.1109/icip.2007.4379786 ◽

2007 ◽

Author(s):

Fan Jiang ◽

Ying Wu ◽

Aggelos K. Katsaggelos

Keyword(s):

Hierarchical Clustering ◽

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection

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Unsupervised Learning Approach for Abnormal Event Detection in Surveillance Video by Hybrid Autoencoder

Neural Processing Letters ◽

10.1007/s11063-019-10113-w ◽

2019 ◽

Vol 52 (2) ◽

pp. 961-975 ◽

Author(s):

Fuqiang Zhou ◽

Lin Wang ◽

Zuoxin Li ◽

Wangxia Zuo ◽

Haishu Tan

Keyword(s):

Unsupervised Learning ◽

Event Detection ◽

Learning Approach ◽

Surveillance Video ◽

Abnormal Event Detection

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Abnormal Event Detection Method in Surveillance Video Based on Temporal CNN and Sparse Optical Flow

Proceedings of the 2019 5th International Conference on Computing and Data Engineering - ICCDE' 19 ◽

10.1145/3330530.3330538 ◽

2019 ◽

Author(s):

Hongxia Xia ◽

Ting Li ◽

Wenxuan Liu ◽

Xian Zhong ◽

JingLing Yuan

Keyword(s):

Optical Flow ◽

Event Detection ◽

Detection Method ◽

Surveillance Video ◽

Abnormal Event Detection

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A hybrid generative-discriminative model for abnormal event detection in surveillance video scenes

International Journal of Information and Computer Security ◽

10.1504/ijics.2020.10026782 ◽

2020 ◽

Vol 12 (2/3) ◽

pp. 253

Author(s):

S. Arun Kumar ◽

P.M. Ashok Kumar ◽

D. Kavitha

Keyword(s):

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection ◽

Discriminative Model

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Effective Scheme for Global Abnormal Event Detection for Surveillance Video

Proceedings of the 2016 International Conference on Communications, Information Management and Network Security ◽

10.2991/cimns-16.2016.51 ◽

2016 ◽

Author(s):

Fangxu Dong ◽

Dong Hu

Keyword(s):

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection ◽

Effective Scheme

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The LV dataset: A realistic surveillance video dataset for abnormal event detection

2017 5th International Workshop on Biometrics and Forensics (IWBF) ◽

10.1109/iwbf.2017.7935096 ◽

2017 ◽

Author(s):

Roberto Leyva ◽

Victor Sanchez ◽

Chang-Tsun Li

Keyword(s):

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection

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An intelligent video analytics model for abnormal event detection in online surveillance video

Journal of Real-Time Image Processing ◽

10.1007/s11554-018-0840-6 ◽

2018 ◽

Vol 17 (4) ◽

pp. 915-930 ◽

Author(s):

A. Balasundaram ◽

C. Chellappan

Keyword(s):

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection ◽

Video Analytics

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A hybrid generative-discriminative model for abnormal event detection in surveillance video scenes

International Journal of Information and Computer Security ◽

10.1504/ijics.2020.105179 ◽

2020 ◽

Vol 12 (2/3) ◽

pp. 253

Author(s):

P.M. Ashok Kumar ◽

D. Kavitha ◽

S. Arun Kumar

Keyword(s):

Event Detection ◽

Surveillance Video ◽

Abnormal Event Detection ◽

Discriminative Model

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Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns

2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013) ◽

10.1109/ivcnz.2013.6727064 ◽

2013 ◽

Author(s):

Tushar Sandhan ◽

Amit Sethi ◽

Tushar Srivastava ◽

Jin Young Choi

Keyword(s):

Unsupervised Learning ◽

Event Detection ◽

Learning Approach ◽

Surveillance Video ◽

Abnormal Event Detection

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Abnormal Event Detection in Surveillance Video: A Compressed Domain Approach for HEVC

2017 Data Compression Conference (DCC) ◽

10.1109/dcc.2017.32 ◽

2017 ◽

Author(s):

Yihao Zhang ◽

Hongyang Chao

Keyword(s):

Event Detection ◽

Compressed Domain ◽

Surveillance Video ◽

Abnormal Event Detection

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