Computer Sciences Commons^™

Camera Trackers, Matthew Cutts

Link Foundation Modeling, Simulation and Training Fellowship Reports

Tracking an object's location with inertial sensors works well over short time periods, but sensor drift and errors in integration cause errors to accumulate exponentially. Images, in contrast, work very well to determine a camera's location provided that the camera moves slowly. I received fellowship funding to work on a hybrid image and inertial tracker. The idea was to use data from the image sensors to correct errors and drift in the inertial sensors. The computer vision community has expended a great deal of energy in pursuing motion tracking from images. This area of research is also related to compositing …