Pedestrians Egocentric Vision: Individual and Collective Analysis

Matteo Valsecchi, Arash Akbarinia, Raquel Gil Rodríguez, Karl R. Gegenfurtner

Abstract: Egocentric videos offer an ecological approach to study human gaze behaviour. We were interested in understanding what people look at while performing the natural task of navigating in urban environments. Is there a collective pattern among all participants or are there substantial individual differences? To this end, we recorded egocentric video and gaze data from forty-three pedestrians. Here, we present this dataset designed to benchmark future research. The content of these videos was examined with respect to the depth and category of attended objects. We observe noticeable individual differences in both factors. Following these criteria, individual gaze patterns form a number of clusters. The unique signature of each set remains to be explored, whether it is based on low-level visual features or high-level cognitive characteristics.