Anomaly Detection in Video Surveillance using Object Detection

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@article{1703955,
      author = {Kushagra Gautam},
      title = {Anomaly Detection in Video Surveillance using Object Detection},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {6},
      pages = {208-212},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/17039552.pdf},
      abstract = {The automatic detection of anomalies captured by surveillance settings is essential for speeding the otherwise laborious approach. We try Dataset which can help in identification of weapon and give less false positives. In this paper, we introduce weapon Detection DASIC DATASET suitable and use a combination technique for human-related anomaly detection in real-time video surveillance system using specified object tracking.},
      month = {December},
  }