Abnormal Event Detection In Video

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Real-world Anomaly Detection in Surveillance Videos
  12 Jan 2018 9 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 4 pointer-only (licence)
  To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled…
• Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
  6 Jan 2017 5 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  We present an efficient method for detecting anomalies in videos.
• An Attribute-based Method for Video Anomaly Detection
  1 Dec 2022 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Video anomaly detection (VAD) identifies suspicious events in videos, which is critical for crime prevention and homeland security.
• A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
  27 Aug 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Following the standard formulation of abnormal event detection as outlier detection, we propose a background-agnostic framework that learns from training videos containing only normal events.
• Learning Temporal Regularity in Video Sequences
  15 Apr 2016 2 repositories listed
  Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene.
• Normalizing Flows for Human Pose Anomaly Detection
  20 Nov 2022 1 repository listed
  Video anomaly detection is an ill-posed problem because it relies on many parameters such as appearance, pose, camera angle, background, and more.
• Learnable Locality-Sensitive Hashing for Video Anomaly Detection
  15 Nov 2021 1 repository listed
  In this paper, we propose a novel distance-based VAD method to take advantage of all the available normal data efficiently and flexibly.
• Iterative weak/self-supervised classification framework for abnormal events detection
  3 Jan 2021 1 repository listed
  The detection of abnormal events in surveillance footage remains a challenge and has been the scope of various research works.
• Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
  15 Nov 2020 1 repository listed
  To the best of our knowledge, we are the first to approach anomalous event detection in video as a multi-task learning problem, integrating multiple self-supervised and knowledge distillation proxy tasks in a single…
• Weakly and Partially Supervised Learning Frameworks for Anomaly Detection
  23 Jul 2020 1 repository listed
  The main objective is to provide several solutions to the mentioned problems, by focusing on analyzing previous state-of-the-art methods and presenting an extensive overview to clarify the concepts employed on capturing…
• Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
  11 Dec 2018 1 repository listed Syntology ran 0 of 21 samples · 21 unverified
  Most existing approaches formulate abnormal event detection as an outlier detection task, due to the scarcity of anomalous data during training.
• Generative Neural Networks for Anomaly Detection in Crowded Scenes
  29 Oct 2018 1 repository listed
  Security surveillance is critical to social harmony and people's peaceful life.
• Abnormal event detection on BMTT-PETS 2017 surveillance challenge
  26 Jul 2017 1 repository listed
  Next, features are extracted from each frame using a convolutional neural network (CNN) that is trained to classify between normal and abnormal frames.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.