Title: An architectural level design methodology for smart camera applications

Authors: Sankalita Saha, Vida Kianzad, Jason Schlessman, Gaurav Aggarwal, Shuvra S. Bhattacharyya, Rama Chellappa, Wayne Wolf

Addresses: MCT/NASA Ames Research Center, Moffett Field, CA, USA. ' The MathWorks, Natick, MA, USA. ' Department of Electrical Engineering, Princeton University, Princeton, NJ, USA. ' ObjectVideo Inc., Reston, VA, USA. ' Department of Electrical and Computer Engineering, Institute for Advanced Computer Studies, University of Maryland, College Park, USA. ' Department of Electrical and Computer Engineering, Institute for Advanced Computer Studies, University of Maryland, College Park, USA. ' School of Electrical and Computer Engineering, Atlanta, Georgia, USA

Abstract: Today|s embedded computing applications are characterised by increased functionality, and hence increased design complexity and processing requirements. The resulting design spaces are vast and designers are typically able to evaluate only small subsets of solutions due to lack of efficient design tools. In this paper, we propose an architectural level design methodology that provides a means for a comprehensive design space exploration for smart camera applications and enable designers to select higher quality solutions and provides substantial savings on the overall cost of the system. We present efficient, accurate and intuitive models for performance estimation and validate them with experiments.

Keywords: design space exploration; smart cameras; synchronisation; embedded systems; performance evaluation.

DOI: 10.1504/IJES.2009.027242

International Journal of Embedded Systems, 2009 Vol.4 No.1, pp.83 - 97

Published online: 18 Jul 2009 *

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