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About: Intelligent Motion Detection Using Compressed Sensing

Collection type: Course

Course by: Heather Johnston, Siddharth Gupta, Grant Lee, Veena Padmanabhan. E-mail the authors

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Metadata

Name: Intelligent Motion Detection Using Compressed Sensing
ID: col10311
Language: English (en)
Summary: We explore intelligent motion detecting using compressed sensing. Starting from the proof-of-concept that motion can be detected, we have created an algorithm to deterministically compute the speed of a known object under idealized conditions. We provide an explanation of its validity based on Parseval’s Theorem and propose an upper velocity resolution limit for our computation. A framework is provided for extending our work with support vector machines to automatically classify observed motion.
Collection Subtype: Course
Subject: Science and Technology
Keywords: compressed sensing, intelligent motion detection
License: Creative Commons Attribution License CC-BY 2.0

Authors: Heather Johnston (heatherj@rice.edu), Siddharth Gupta (sgupta@rice.edu), Grant Lee (grantlee@rice.edu), Veena Padmanabhan (veena@rice.edu)
Copyright Holders: Heather Johnston (heatherj@rice.edu), Siddharth Gupta (sgupta@rice.edu), Grant Lee (grantlee@rice.edu), Veena Padmanabhan (veena@rice.edu)
Maintainers: Heather Johnston (heatherj@rice.edu), Siddharth Gupta (sgupta@rice.edu), Grant Lee (grantlee@rice.edu), Veena Padmanabhan (veena@rice.edu), Richard Baraniuk (richb@rice.edu)

Latest version: 1.3 (history)
First publication date: Dec 11, 2005 3:39 am US/Central
Last revision to collection: Dec 23, 2005 1:19 pm US/Central

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Version History

Version: 1.3 Dec 23, 2005 1:19 pm US/Central by Heather Johnston
Changes:
Rich B added as maintainer.

Version: 1.2 Dec 11, 2005 8:33 pm US/Central by Siddharth Gupta
Changes:
Second upload, changed order for future investigation

Version: 1.1 Dec 11, 2005 8:31 pm US/Central by Siddharth Gupta
Changes:
First upload of course

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If you reuse this work elsewhere, in order to comply with the attribution requirements of the license (CC-BY 2.0), you must include

  • the authors' names: Heather Johnston, Siddharth Gupta, Grant Lee, Veena Padmanabhan
  • the title of the work: Intelligent Motion Detection Using Compressed Sensing
  • the Connexions URL where the work can be found: http://cnx.org/content/col10311/1.3/

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How to Cite and Attribute This Content

The following citation styles comply with the attribution requirements for the license (CC-BY 2.0) of this work:

American Chemical Society (ACS) Style Guide:

Johnston, H.; Gupta, S.; Lee, G.; Padmanabhan, V. Intelligent Motion Detection Using Compressed Sensing, Connexions Web site. http://cnx.org/content/col10311/1.3/, Dec 23, 2005.

American Medical Assocation (AMA) Manual of Style:

Johnston H, Gupta S, Lee G, Padmanabhan V. Intelligent Motion Detection Using Compressed Sensing [Connexions Web site]. December 23, 2005. Available at: http://cnx.org/content/col10311/1.3/.

American Psychological Assocation (APA) Publication Manual:

Johnston, H., Gupta, S., Lee, G., & Padmanabhan, V. (2005, December 23). Intelligent Motion Detection Using Compressed Sensing. Retrieved from the Connexions Web site: http://cnx.org/content/col10311/1.3/

Chicago Manual of Style (Bibliography):

Johnston, Heather, Siddharth Gupta, Grant Lee, and Veena Padmanabhan. "Intelligent Motion Detection Using Compressed Sensing." Connexions. December 23, 2005. http://cnx.org/content/col10311/1.3/.

Chicago Manual of Style (Note):

Heather Johnston and others, "Intelligent Motion Detection Using Compressed Sensing," Connexions, December 23, 2005, http://cnx.org/content/col10311/1.3/.

Chicago Manual of Style (Reference, in Author-Date style):

Johnston, H., Gupta, S., Lee, G., & Padmanabhan, V. 2005. Intelligent Motion Detection Using Compressed Sensing. Connexions, December 23, 2005. http://cnx.org/content/col10311/1.3/.

Modern Languages Association (MLA) Style Manual:

Johnston, Heather, Siddharth Gupta, Grant Lee, and Veena Padmanabhan. Intelligent Motion Detection Using Compressed Sensing. Connexions. 23 Dec. 2005 <http://cnx.org/content/col10311/1.3/>.