Thesis etd-09062013-124445 |
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Thesis type
Tesi di laurea magistrale
Author
MAGGIANI, LUCA
URN
etd-09062013-124445
Thesis title
Reconfigurable FPGA Architecture for Computer Vision Applications in Smart Camera Networks
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
INGEGNERIA ELETTRONICA
Supervisors
correlatore Dott. Pagano, Paolo
correlatore Prof. Berry, François
relatore Prof. Saletti, Roberto
correlatore Prof. Berry, François
relatore Prof. Saletti, Roberto
Keywords
- computer vision
- dynamic configuration
- FPGA
- hardware software codesign
- image processing
- scn
- smart camera network
Graduation session start date
27/09/2013
Availability
Full
Summary
Smart Camera Networks (SCNs) is nowadays an emerging research field which represents the
natural evolution of centralized computer vision applications towards full distributed and
pervasive systems. In this vision, one of the biggest effort is in the definition of a flexible and
reconfigurable SCN node architecture able to remotely update the application parameter and the
performed computer vision application at runtime. In this respect, we present a novel SCN node
architecture based on a device in which a microcontroller manage all the network functionality as
well as the remote configuration, while an FPGA implements all the necessary module of a full
computer vision pipeline. In this work the envisioned architecture is first detailed in general
terms, then a real implementation is presented to show the feasibility and the benefits of the
proposed solution. Finally, performance evaluation results underline the potential of an hardware
software codesign approach in reaching flexibility and reduced processing time.
natural evolution of centralized computer vision applications towards full distributed and
pervasive systems. In this vision, one of the biggest effort is in the definition of a flexible and
reconfigurable SCN node architecture able to remotely update the application parameter and the
performed computer vision application at runtime. In this respect, we present a novel SCN node
architecture based on a device in which a microcontroller manage all the network functionality as
well as the remote configuration, while an FPGA implements all the necessary module of a full
computer vision pipeline. In this work the envisioned architecture is first detailed in general
terms, then a real implementation is presented to show the feasibility and the benefits of the
proposed solution. Finally, performance evaluation results underline the potential of an hardware
software codesign approach in reaching flexibility and reduced processing time.
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