• Corpus ID: 244920931

Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection

@article{Yu2021RegularityLV,
  title={Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection},
  author={Shunjia Yu and Zhong-Hua Zhao and Haoshu Fang and Andong Deng and Haisheng Su and Dongliang Wang and Weihao Gan and Cewu Lu and Wei Wu},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.03649}
}
Anomaly detection in surveillance videos is challenging and important for ensuring public security. Different from pixel-based anomaly detection methods, pose-based methods utilize highly-structured skeleton data, which decreases the computational burden and also avoids the negative impact of background noise. However, unlike pixel-based methods, which could directly exploit explicit motion features such as optical flow, pose-based methods suffer from the lack of alternative dynamic… 

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