Abby Stylianou

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Many computer vision applications rely on matching features of a query image to reference data sets, but little work has explored how quickly data sets become out of date. In this paper we measure feature matching performance across 5 years of time-lapse data from 20 static cameras to empirically study how feature matching is affected by changing sunlight(More)
—Five years ago we reported at AIPR on a nascent project to archive images from every webcam in the world and to develop algorithms to geo-locate, calibrate, and annotate this data. This archive of many outdoor scenes (AMOS) has now grown to include 28000 live outdoor cameras and over 630 million images. This is actively being used in projects ranging from(More)
Active transportation is an important contributor to physical activity. Understanding active transportation trends and transportation mode share is important to public health research and city planners. Objective measurement of active transportation can be costly and time-consuming, and existing camera-based algorithms, while developing, are functionally(More)
INTRODUCTION Active transportation opportunities and infrastructure are an important component of a community's design, livability, and health. Features of the built environment influence active transportation, but objective study of the natural experiment effects of built environment improvements on active transportation is challenging. The purpose of this(More)
—The vast amount of public photographic data posted and shared on Facebook, Instragram and other forms of social media offers an unprecedented visual archive of the world. This archive captures events ranging from birthdays, trips, and graduations to lethal conflicts and human rights violations. Because this data is public, it has led to a new genre of(More)
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