Tracking with constraints in a web of sensors

With the dramatic fall in price of electronics over the past several years, large-scale networks of sensors are steadily becoming more feasible. The goal of this research project was to deploy a sensor network for data collection of human trajectories and to develop and test a method for taking walls into account using a penalty function in an ongoing research project in trajectory tracking model. There were two deployed sensor networks, one with distance sensors and one with cameras, and the camera network was used to collect data for the two papers. The trajectory tracking model was modified to incorporate wall constraints to enable exploration of more realistic scenarios, with encouraging preliminary results.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Dunagan, Brian Kerry, 1980-

Advisor dc:contributor.advisor

• Trevor Darrell.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/28390

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/28390