Data association refers to the process of matching observations or measurements to their corresponding objects over time. This is crucial in scenarios involving tracking multiple objects, as it ensures that the correct measurements are attributed to the right objects across different frames or time steps. Accurate data association helps maintain the integrity of tracking algorithms and is essential for predicting future states based on past observations.
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