Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring

arXiv:2608.31074 · cs.CV, cs.AI, eess.IV · Submitted 2026-08-31 · Read on arXiv

cs.CV, cs.AI, eess.IV

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: 5 pages, 2 figures, 3 tables. Presented at the 9th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2026); accepted for publication in IEEE Xplore

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUROC — 10× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Optical Flow — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Two-Stage Framework — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Edge Devices — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes

Sources

• An Attribute-based Method for Video Anomaly Detection

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