Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos

Author:

Bao Qianyue1,Liu Fang1,Liu Yang1,Jiao Licheng1,Liu Xu1,Li Lingling1

Affiliation:

1. Xidian University & Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education & International Research Center for Intelligent Perception and Computation & Joint International Research Laboratory of Intelligent Perception and Computation, with the Joint International Research Laboratory of Intelligent Perception and Computation, Xi'an, China

Funder

National Natural Science Foundation of China

Program for Cheung Kong Scholars and Innovative Research Team in University

the State Key Program of National Natural Science of China

the National Key Research and Development Program of China

Fund for Foreign Scholars in University Research and Teaching Programs

Key Research and Development Program in Shaanxi Province of China

the Key Scientific Technological Innovation Research Project by Ministry of Education

Publisher

ACM

Reference53 articles.

1. Appearance-Motion Memory Consistency Network for Video Anomaly Detection

2. Deep Clustering for Unsupervised Learning of Visual Features

3. Raghavendra Chalapathy and Sanjay Chawla . 2019. Deep learning for anomaly detection: A survey. arXiv preprint arXiv:1901.03407 ( 2019 ). Raghavendra Chalapathy and Sanjay Chawla. 2019. Deep learning for anomaly detection: A survey. arXiv preprint arXiv:1901.03407 (2019).

4. Clustering Driven Deep Autoencoder for Video Anomaly Detection

5. NM-GAN: Noise-modulated generative adversarial network for video anomaly detection

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