mlsanityData to 7 Oct 2026

Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things

arXiv 2301.03561 ↗First posted 9 Jan 2023cs.CV cs.AI cs.CYcited by 17

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Abstract (arXiv)

With the advancement of vision-based artificial intelligence, the proliferation of the Internet of Things connected cameras, and the increasing societal need for rapid and equitable security, the demand for accurate real-time intelligent surveillance has never been higher. This article presents Ancilia, an end-to-end scalable, intelligent video surveillance system for the Artificial Intelligence of Things. Ancilia brings state-of-the-art artificial intelligence to real-world surveillance applications while respecting ethical concerns and performing high-level cognitive tasks in real-time. Ancilia aims to revolutionize the surveillance landscape, to bring more effective, intelligent, and equitable security to the field, resulting in safer and more secure communities without requiring people to compromise their right to privacy.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 29 of its 74 references that are in the map. First posted on arXiv 9 Jan 2023.

Builds on

29 of 74 references.

References · 29

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17 more
  1. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 292
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 6; 2024: 5; 2025: 4; 2026: 2.

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  1. 2024An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Predictioncited by 19
  2. 2023Understanding the Challenges and Opportunities of Pose-based Anomaly Detectioncited by 14
  3. 2024CREW: Facilitating Human-AI Teaming Researchcited by 11
  4. 2023Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safetycited by 9
  5. 2024A Survey on Human-AI Collaboration with Large Foundation Modelscited by 7
  6. 2024Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmarkcited by 6
  7. 2024Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformercited by 6
  8. 2023From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safetycited by 5
  9. 2025Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmarkcited by 5
  10. 2025MoFM: A Large-Scale Human Motion Foundation Modelcited by 5
  11. 2023Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobilitycited by 4
  12. 2025A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environmentcited by 4
5 more
  1. 2026From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail Securitycited by 3
  2. 2025MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generationcited by 2
  3. 2023Real-World Community-in-the-Loop Smart Video Surveillance -- A Case Study at a Community Collegecited by 1
  4. 2023VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applicationscited by 1
  5. 2026Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wildcited by 1