Compressive measurement for target tracking in persistent, pervasive surveillance applications

Michael E. Gehm; Michael D. Stenner

doi:10.1117/12.827048

24 August 2009 Compressive measurement for target tracking in persistent, pervasive surveillance applications

Michael E. Gehm, Michael D. Stenner

Proceedings Volume 7468, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems; 746808 (2009) https://doi.org/10.1117/12.827048
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Motion tracking in persistent surveillance applications enters an interesting regime when the movers are of a size on the order of the image resolution elements or smaller. In this case, for reasonable scenes, information about the movers is a natively sparse signal - in an observation of a scene at two closely separated time-steps, only a small number of locations (those associated with the movers) will have changed dramatically. Thus, this particular application is well-suited for compressive sensing techniques that attempt to efficiently measure sparse signals. Recently, we have been investigating two different approaches to compressive measurement for this application. The first, differential Combinatorial Group Testing (dCGT), is a natural extension of group testing ideas to situations where signal differences are sparse. The second methodology is an ℓ-1-minimization based recovery approach centered on recent work in random (and designed) multiplex sensing. In this manuscript we will discuss these methods as they apply to the motion tracking problem, discuss various performance limits, present early simulation results, and discuss notional optical architectures for implementing a compressive measurement scheme.

Citation Download Citation

Michael E. Gehm and Michael D. Stenner "Compressive measurement for target tracking in persistent, pervasive surveillance applications", Proc. SPIE 7468, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems, 746808 (24 August 2009); https://doi.org/10.1117/12.827048

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available