Discovery Park Undergraduate Research Internship Program

"Open Source Intelligence using Global Network Cameras"

About the Project

Project Time & Type:
Summer 2017 - DURI
Research area(s):
Computer Engineering
Project Description:
This project will create software that can acquire image (or video) from network cameras deployed worldwide. Computer vision technologies will be integrated to analyze the data and extract valuable information. The information could be used to validate analysis results from satellite images as well as providing real-time views of unfolding events. The project uses only data that is publicly available on the Internet.
Expected Student Contributions:
Given a geographical region, find network cameras that can provide real-time view of the region. Use machine learning to analyze visual data, more specifically, detect and count the number of people in the image (or video). Create web interface through which users can find cameras and record data from these cameras.
Related Website(s):
Continuous Analysis of Many CAMeras https://cam2.ecn.purdue.edu/
Desired Qualifications:
Have taken at least two programming classes. Know Python (or other script languages).
Estimated Weekly Hours:
40
Department awards independent research credits for this project?
Yes, 3 credit hours

Professor in Charge

Name:
Lu, Yung-hsiang
Deptartment/College:
electrical and computer eng

Student Supervisor

Name:
Yung-Hsiang L
Title:
Associate Professor

Cooperating Faculty

Name:
Daniel DeLaurentis
Deptartment/College:
School of Aeronautics & Astronautics