mlsanityData to 14 Oct 2026

Real time anomalies detection on video

arXiv 2410.18051 ↗First posted 23 Oct 2024cs.CVcited by 0

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Abstract (arXiv)

Nowadays, many places use security cameras. Unfortunately, when an incident occurs, these technologies are used to show past events. So it can be considered as a deterrence tool than a detection tool. In this article, we will propose a deep learning approach trying to solve this problematic. This approach uses convolutional models (CNN) to extract relevant characteristics linked to the video images, theses characteristics will form times series to be analyzed by LSTM / GRU models.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 16 references that are in the map. First posted on arXiv 23 Oct 2024.

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2 of 16 references.

References · 2

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  2. 2018Real-world Anomaly Detection in Surveillance Videoscited by 577

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