mlsanityData to 7 Oct 2026

Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection

arXiv 1610.00307 ↗First posted 2 Oct 2016cs.CVcited by 32

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Abstract (arXiv)

Most of the crowd abnormal event detection methods rely on complex hand-crafted features to represent the crowd motion and appearance. Convolutional Neural Networks (CNN) have shown to be a powerful tool with excellent representational capacities, which can leverage the need for hand-crafted features. In this paper, we show that keeping track of the changes in the CNN feature across time can facilitate capturing the local abnormality. We specifically propose a novel measure-based method which allows measuring the local abnormality in a video by combining semantic information (inherited from existing CNN models) with low-level Optical-Flow. One of the advantage of this method is that it can be used without the fine-tuning costs. The proposed method is validated on challenging abnormality detection datasets and the results show the superiority of our method compared to the state-of-the-art methods.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Oct 2016.

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Citing papers per year: 2021: 11; 2022: 13; 2023: 5; 2024: 2; 2025: 1.

32 papers.

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  1. 2021Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learningcited by 226
  2. 2021Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detectioncited by 119
  3. 2022Generative Cooperative Learning for Unsupervised Video Anomaly Detectioncited by 102
  4. 2021UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detectioncited by 91
  5. 2022Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wildcited by 70
  6. 2023Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detectioncited by 64
  7. 2023Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Modelscited by 59
  8. 2022SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detectioncited by 45
  9. 2023Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectorscited by 37
  10. 2022Self-Supervised Masked Convolutional Transformer Block for Anomaly Detectioncited by 34
  11. 2022DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Networkcited by 26
  12. 2021Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinementcited by 21
20 more
  1. 2024Networking Systems for Video Anomaly Detection: A Tutorial and Surveycited by 21
  2. 2022EVAL: Explainable Video Anomaly Localizationcited by 19
  3. 2023Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detectioncited by 16
  4. 2021FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformationcited by 15
  5. 2022Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomaliescited by 14
  6. 2022Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videoscited by 12
  7. 2021A Modular and Unified Framework for Detecting and Localizing Video Anomaliescited by 6
  8. 2025SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Modelcited by 6
  9. 2021Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomaliescited by 4
  10. 2022Spatio-temporal predictive tasks for abnormal event detection in videoscited by 3
  11. 2022Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillationcited by 3
  12. 2021Multimedia Datasets for Anomaly Detection: A Reviewcited by 2
  13. 2021Video Abnormal Event Detection by Learning to Complete Visual Cloze Testscited by 1
  14. 2022Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videoscited by 1
  15. 2022Adversarial Attention for Human Motion Synthesiscited by 1
  16. 2024Beyond the Known: Adversarial Autoencoders in Novelty Detectioncited by 1
  17. 2021"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networkscited by 0
  18. 2021Generalized One-Class Learning Using Pairs of Complementary Classifierscited by 0
  19. 2022Real-world Video Anomaly Detection by Extracting Salient Features in Videoscited by 0
  20. 2023Enhancing the Prediction of Emotional Experience in Movies using Deep Neural Networks: The Significance of Audio and Languagecited by 0