Self-Organizing Multi-cue Fusion for FPGA-based Embedded Imaging

Wildermann S, Walla G, Ziermann T, Teich J (2009)


Publication Type: Conference contribution

Publication year: 2009

Edited Volumes: FPL 09: 19th International Conference on Field Programmable Logic and Applications

Pages Range: 132-137

Conference Proceedings Title: Proc. 19th International Conference on Field-Programmable Logic and Applications

Event location: Prague CZ

DOI: 10.1109/FPL.2009.5272523

Abstract

Self-organization is a natural concept that helps complex systems to adapt themselves autonomically to their environment. In this paper, we present a self-organizing framework for multi-cue fusion in embedded imaging. This means that several simple image filters are used in combination to lead to a more robust system behavior. Human motion tracking serves as a show case. The system adapts to changes in the environment while tracking a person. Besides this, system customization can be simplified. The designer just has to select a desired set of image filters for a given task. The system then finds the appropriate parameters, e.g., the weighting of different cues. With the option of partial re-configuration, FPGAs support this type of customization. An FPGA-based prototype implementation demonstrates the feasibility of this approach. Tracking and adaptation work in real-time with 25 FPS and a resolution of 640x480. ©2009 IEEE.

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APA:

Wildermann, S., Walla, G., Ziermann, T., & Teich, J. (2009). Self-Organizing Multi-cue Fusion for FPGA-based Embedded Imaging. In Proc. 19th International Conference on Field-Programmable Logic and Applications (pp. 132-137). Prague, CZ.

MLA:

Wildermann, Stefan, et al. "Self-Organizing Multi-cue Fusion for FPGA-based Embedded Imaging." Proceedings of the 19th International Conference on Field-Programmable Logic and Applications (FPL'09), Prague 2009. 132-137.

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