Nathan Jacobs

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Research Overview

My research focuses on understanding long sequences of outdoor imagery, specifically algorithms for inferring properties of the camera, the static scene, and the transient objects. See my research statement (pdf, sorry) for the most complete summary of my research.

Research Projects

Below are links to some of my projects. Please see my list of publications for projects without dedicated webpages.

Archive of Many Outdoor Scenes

We are collecting, analyzing, and making available millions of images from webcams around the world.

Geolocating Static Cameras

We demonstrate that it is possible to geolocalize static cameras using natural variations in the world (e.g., the diurnal cycle and the weather)

Multitemporal Background Models

This work explores techniques and surveillance applications of keeping background models at different timescales.

Local Shape Background Models

We learn the distribution of object shapes conditioned on image location and use this to improve moving object segmentation and to enable anomalous shape detection.

Tracking Objects in Space-Time Sheets

We describe an efficient method for object tracking in constrained scenes.

Integral Pixel Cameras and Differential Image Motion

We explore the relationship between image motion and compressive sensing camera designs.