Tracks both moving and stationary objects while adapting to changing backgrounds and object states, providing more robust tracking and event recognition in dynamic environments.

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Dynamic environments contain moving objects, stationary objects and changing background conditions, making it difficult to accurately determine object states, maintain tracking and recognise relevant events over time.

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Provides an object-tracking and event-recognition system that detects moving objects, updates the background model, filters noise, validates stationary objects and analyses their status over time to categorise objects and recognise relevant events.

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Combines moving-object detection, dynamic background updating, stationary-object validation and temporal smoothness analysis to maintain object tracking and recognise events in changing environments.

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