Exploring Background-bias for Anomaly Detection in Surveillance Videos-Reference-Cited by-同舟云学术

Exploring Background-bias for Anomaly Detection in Surveillance Videos

Published:2019-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Multimedia
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Author:

Liu Kun¹,Ma Huadong¹

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3343031.3350998

Reference49 articles.

1. Person-on-person violence detection in video data

2. Chuang Gan Boqing Gong Kun Liu Hao Su and Leonidas J Guibas. 2018. Geometry guided convolutional neural networks for self-supervised video representation learning. In Computer Vision and Pattern Recognition . 5589--5597. Chuang Gan Boqing Gong Kun Liu Hao Su and Leonidas J Guibas. 2018. Geometry guided convolutional neural networks for self-supervised video representation learning. In Computer Vision and Pattern Recognition . 5589--5597.

3. Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames

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