Skip to content Skip to navigation

Connexions

You are here: Home » Content » The Team and Acknowledgements

Navigation

Content Actions
  • Download module PDF
  • Add to ...
    Add the module to:
    • My Favorites
    • A lens
    • An external social bookmarking service
    • My Favorites (What is 'My Favorites'?)
      'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.
    • A lens (What is a lens?)

      Definition of a lens

      Lenses

      A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

      What is in a lens?

      Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

      Who can create a lens?

      Any individual Connexions member, a community, or a respected organization.

    • External bookmarks
  • E-mail the authors

Lenses

What is a lens?

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

This content is ...

Affiliated with (What does "Affiliated with" mean?)

This content is either by members of the organizations listed or about topics related to the organizations listed. Click each link to see a list of all content affiliated with the organization.
  • Rice University ELEC 301 Projects

    This module is included inLens: Rice University ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ELEC 301 Projects Fall 2005"

    Click the "Rice University ELEC 301 Projects" link to see all content affiliated with them.

Recently Viewed

This feature requires Javascript to be enabled.

The Team and Acknowledgements

Module by: Siddharth Gupta, Veena Padmanabhan, Grant Lee, Heather Johnston

Summary: Team involved in this project and acknowledgements.

The Team

Figure 1: Grant Lee, Heather Johnston, Siddharth Gupta, Veena Padmanabhan
(Us.jpg)

Grant Lee, Heather Johnston, Siddharth Gupta and Veena Padmanabhan are Electrical Engineering majors at Rice University, Houston, TX. They are all in their third year of study and are all currently pursuing Signals and Systems as their specialization.

Acknowledgements

During our project, we were extremely fortunate to receive invaluable assistance from several people. We can not thank you enough:

Dr. Richard Baraniuk, our professor, for pointing us in the right direction time and again.

Ilan Goodman, for providing his motion detection code, numerous explanations, and his intuition analyzing our early results.

Marco Duarte, for his explanation of compressed sensing.

Mark Davenport, for his explanation of support vector machines.

Bruce Flinchbaugh, Texas Instruments, for sources on traditional intelligent motion detection.

Comments, questions, feedback, criticisms?

Send feedback