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Abstract: Fast Object Tracking

Fast Object Tracking Through the Use of Artificial Neural Networks

A key function for an autonomous robot is recognition and tracking of pertinent objects observed through a camera. Real-time interpretation of camera images is critical to a robot’s interaction with the physical world. This talk presents preliminary results in using artificial neural networks (ANN) to examine the pixels of an image. While processing all pixels through ANNs would jeopardize the real-time processing requirements, the accuracy gained facilitates use of algorithms that only need to examine a fraction of the pixels composing an image in order to recognize and track the objects of interest. The test environment and problem statement, description of a methodology that employed ANNs to address the problem, and details of the algorithms that interpret images will be presented. The results show a high degree of success within the domain of the test environment.

College of Natural Sciences and Mathematics Closes Out Fall Lecture Series

This semester's Science Inspires Series (SIS) concludes with a faculty talk, "A Novel System for Searching Image Databases using Evolutionary Algorithms," by Waleed Farag, Computer Science professor, on November 12 at 4:30 p.m., in 107 Weyandt Hall.

Posted on 11/4/2015 5:02:54 PM

Information Assurance Day 2015

This year’s Information Assurance Day is coming up on October 29 from 9:00 a.m.–4:00 p.m. in the HUB Delaware Room. Presentation topics from industry professionals range from risk management to the dangers associated with container files and mobile computing.

Posted on 10/22/2015 5:09:00 PM

NSA Opportunities for Cyber Professionals

The National Security Agency has a number of openings for full-time positions in all of its mission areas. Students receiving degrees in computer science, computer engineering, electrical engineering, software engineering, systems engineering, or other information security and cyber-related disciplines are encouraged to apply.

Posted on 9/25/2014 3:10:30 PM

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