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This invention describes a computer program that watches video to understand what objects are doing and whether their actions are normal or unusual. It works by identifying basic movements, like 'walking' or 'stopping,' for things like people or vehicles, and then uses mathematical techniques to analyze these movements over time to spot patterns. The claims narrow this to a specific computer method that takes pre-classified objects and uses a technique called Singular Value Decomposition to simplify the movement data.
Why it matters: Since 2019, advancements in deep learning and computer vision have made video analysis and behavior recognition significantly more powerful and efficient. Modern machine learning models can now generate richer vector representations and perform anomaly detection with greater accuracy and less manual feature engineering than was common when this was filed.
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