Multi-object tracking with a knowledge-based, autonomous adaptation of the tracking modeling level

摘要

The invention proposes a method for object and object configuration tracking based on sensory input data, the method comprising the steps of:
(1.1) Basic recruiting: Detecting interesting parts in sensory input data which are not yet covered by already tracked objects and incrementally initializing basic tracking models for these parts to continuously estimate their states,
(1.2) Tracking model complexity adjustment: Testing, during runtime more complex and more simple prediction and/or measurement models on the tracked objects, and
(1.3) Basic release: Releasing trackers from parts of the sensory data where the tracker prediction and measurement processes do not get sufficient sensory support for some time.