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In this paper, we introduce a novel task, referred to as Weakly-Supervised Spatio-Temporal Anomaly Detection (WSSTAD) in surveillance video.
Anomaly detection and localization in crowded scenes
Weixin Li, Vijay Mahadevan, and Nuno Vasconcelos · 2013
Earlier work this paper cites.
An mrf based abnormal event detection approach using motion and appearance features
Hajananth Nallaivarothayan, Clinton Fookes, Simon Denman, and Sridha Sridharan · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Learning deep representations of appearance and motion for anomalous event detection
Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, and Nicu Sebe · 2015
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Anticipating accidents in dashcam videos
Fu-Hsiang Chan, Yu-Ting Chen, Yu Xiang, and Min Sun · 2016
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Learning temporal regularity in video sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K Roy-Chowdhury, and Larry S Davis · 2016
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Deep learning for detecting multiple space-time action tubes in videos
Suman Saha, Gurkirt Singh, Michael Sapienza, Philip HS Torr, and Fabio Cuzzolin · 2016
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A revisit of sparse coding based anomaly detection in stacked rnn framework
Weixin Luo, Wen Liu, and Shenghua Gao · 2017
Cited alongside, same era.
Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, and Reinhard Klette · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Spatio-temporal person retrieval via natural language queries
Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, and Tatsuya Harada · 2017
Cited alongside, same era.
Spatio-temporal instance learning: Action tubes from class supervision
Pascal Mettes and Cees GM Snoek · 2018
Cited alongside, same era.
Temporal convolutional network with complementary inner bag loss for weakly supervised anomaly detection
Jiangong Zhang, Laiyun Qing, Jun Miao, and Jiangong Zhang · 2019
Later among the works it cites.
Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H Li, and Ge Li · 2019
Later among the works it cites.
Motion-aware feature for improved video anomaly detection
Yi Zhu and Shawn Newsam · 2019
Later among the works it cites.
Guess where? actor-supervision for spatiotemporal action localization
Victor Escorcia, Cuong Duc Dao, Mihir Jain, Bernard Ghanem, and Cees G M Snoek · 2020
Later among the works it cites.
Multi-granularity tracking with modularlized components for unsupervised vehicles anomaly detection
Yingying Li, Jie Wu, Xue Bai, Xipeng Yang, Xiao Tan, Guanbin Li, Shilei Wen, Hongwu Zhang, and Errui Ding · 2020
Later among the works it cites.
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Adversarially learned one-class classifier for novelty detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, and Ehsan Adeli · 2018
Cited alongside, same era.
Real-world anomaly detection in surveillance videos
Waqas Sultani, Chen Chen, Mubarak Shah, and Waqas Sultani · 2018
Cited alongside, same era.
Weakly-supervised spatio-temporally grounding natural sentence in video
Zhenfang Chen, Lin Ma, Wenhan Luo, and Kwan-Yee Kenneth Wong · 2019
Cited alongside, same era.
Multi-agent reinforcement learning based frame sampling for effective untrimmed video recognition
Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, and Shilei Wen · 2019
Cited alongside, same era.
Reinforcement learning for weakly supervised temporal grounding of natural language in untrimmed videos
Jie Wu, Guanbin Li, Xiaoguang Han, and Liang Lin · 2020
Later among the works it cites.
Modularized framework with category-sensitive abnormal filter for city anomaly detection
Jie Wu, Yingying Li, Wei Zhang, Yi Wu, Xiao Tan, Hongwu Zhang, Shilei Wen, Errui Ding, and Guanbin Li · 2020
Later among the works it cites.
Box-level tube tracking and refinement for vehicles anomaly detection
Jie Wu, Xionghui Wang, Xuefeng Xiao, and Yitong Wang · 2021
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Good practices and a strong baseline for traffic anomaly detection
Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, and Shifeng Chen · 2021
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