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Tracking multiple objects is limited only by spatial interference , not speed , time , or capacity

In dealing with a dynamic world, we have the ability to maintain selective attention on a subset of moving objects in the environment. Our performance in such tasks is limited by three primary factors the number of objects that we can track, the speed at which we can track them, and how close together they can be. We argue that a form of this last limit, which we label spatial interference, is the root cause of all performance constraints in multiple object tracking tasks. In two experiments, we show that a correlate of spatial interference, the distance that objects travel, can account for performance differences across a wide range of object speeds and tracking task lengths. These results suggest that barring spatial interference, we could reliably track an unlimited number of objects as fast as we could track a single object.