object tracking

In computational simulations of two psychological experiments, we demonstrate that spatial competition during enhancement and temporal competition for selection can explain a range of findings on multiple-object tracking, and we argue that the interaction between selection and enhancement captured in the model is critical to understanding attention more broadly.

Meeting abstract presented at VSS 2017

We present a computational model exploring goal-directed deployment of attention during object tracking. Once selected, objects are tracked in parallel, but serial attention can be directed to an object that is visually crowded and in danger of being lost.

We present an account of object tracking in the ARCADIA cognitive system that treats MOT as dependent upon both pre-attentive and attention-bound processes. We show that with minimal addition this model replicates a variety of core phenomena in the MOT literature and provides an algorithmic explanation of human performance limitations.