Local Anomaly Detection in Videos Using Object-Centric Adversarial Learning

Pattern Recognition. ICPR International Workshops and Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68799-1_16 ◽

2021 ◽

pp. 219-234

Author(s):

Pankaj Raj Roy ◽

Guillaume-Alexandre Bilodeau ◽

Lama Seoud

Keyword(s):

Anomaly Detection ◽

Adversarial Learning ◽

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Glad: Global And Local Anomaly Detection

2020 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme46284.2020.9102818 ◽

2020 ◽

Author(s):

Lihai Nie ◽

Laiping Zhao ◽

Keqiu Li

Keyword(s):

Anomaly Detection ◽

Local Anomaly ◽

Global And Local

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Enhanced Adversarial Learning Based Video Anomaly Detection with Object Confidence and Position

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS) ◽

10.1109/icspcs47537.2019.9008722 ◽

2019 ◽

Author(s):

Yuxing Yang ◽

Zeyu Fu ◽

Syed Mohsen Naqvi

Keyword(s):

Anomaly Detection ◽

Adversarial Learning

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Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2965995 ◽

2020 ◽

Vol 58 (8) ◽

pp. 5416-5427 ◽

Author(s):

Weiying Xie ◽

Baozhu Liu ◽

Yunsong Li ◽

Jie Lei ◽

Qian Du

Keyword(s):

Anomaly Detection ◽

Adversarial Learning ◽

Background Estimation

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Density-preserving projections for large-scale local anomaly detection

Knowledge and Information Systems ◽

10.1007/s10115-011-0430-4 ◽

2011 ◽

Vol 32 (1) ◽

pp. 25-52 ◽

Author(s):

Timothy de Vries ◽

Sanjay Chawla ◽

Michael E. Houle

Keyword(s):

Anomaly Detection ◽

Large Scale ◽

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TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning

Computer Vision and Image Understanding ◽

10.1016/j.cviu.2012.08.010 ◽

2013 ◽

Vol 117 (10) ◽

pp. 1273-1286 ◽

Author(s):

Wanqi Yang ◽

Yang Gao ◽

Longbing Cao

Keyword(s):

Anomaly Detection ◽

Local Anomaly ◽

Trajectory Segmentation

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Local anomaly detection for mobile network monitoring

Information Sciences ◽

10.1016/j.ins.2008.05.038 ◽

2008 ◽

Vol 178 (20) ◽

pp. 3840-3859 ◽

Author(s):

Pekka Kumpulainen ◽

Kimmo Hätönen

Keyword(s):

Anomaly Detection ◽

Network Monitoring ◽

Mobile Network ◽

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Keyed learning: An adversarial learning framework—formalization, challenges, and anomaly detection applications

ETRI Journal ◽

10.4218/etrij.2019-0140 ◽

2019 ◽

Vol 41 (5) ◽

pp. 608-618

Author(s):

Francesco Bergadano

Keyword(s):

Anomaly Detection ◽

Adversarial Learning ◽

Learning Framework

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Local anomaly detection and quantitative analysis of contaminants in soybean meal using near infrared imaging: The example of non-protein nitrogen

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2019.117494 ◽

2020 ◽

Vol 225 ◽

pp. 117494

Author(s):

Guanghui Shen ◽

Juan Antonio Fernández Pierna ◽

Vincent Baeten ◽

Yaoyao Cao ◽

Lujia Han ◽

...

Keyword(s):

Quantitative Analysis ◽

Anomaly Detection ◽

Soybean Meal ◽

Near Infrared ◽

Infrared Imaging ◽

Near Infrared Imaging ◽

Protein Nitrogen ◽

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Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models

2021 22nd IEEE International Conference on Industrial Technology (ICIT) ◽

10.1109/icit46573.2021.9453513 ◽

2021 ◽

Author(s):

Yogesh Pawar ◽

Manar Amayri ◽

Nizar Bouguila

Keyword(s):

Performance Evaluation ◽

Anomaly Detection ◽

Mixture Models ◽

Adversarial Learning

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One-class Adversarial Learning Method for Frame-level Video Anomaly Detection

KIISE Transactions on Computing Practices ◽

10.5626/ktcp.2020.26.8.362 ◽

2020 ◽

Vol 26 (8) ◽

pp. 362-366

Author(s):

Jin-Young Kim ◽

Sung-Bae Cho

Keyword(s):

Anomaly Detection ◽

Learning Method ◽

Adversarial Learning

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