High-level dataflow programming for real-time image processing on smart cameras

We describe the application of the caph programming language to the implementation of complex real-time image processing application on a FPGA embedded in a smart camera architecture. caph is based upon the dataflow model of computation. Applications are described as networks of purely dataflow acto...

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Bibliographic Details
Published in:Journal of real-time image processing Vol. 12; no. 4; pp. 635 - 647
Main Authors: Sérot, Jocelyn, Berry, François, Bourrasset, Cédric
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2016
Springer Nature B.V
Springer Verlag
Subjects:
Cameras
Computer Graphics
Computer Science
Computer Vision and Pattern Recognition
Design
Hardware Architecture
Image processing
Image Processing and Computer Vision
Language
Multimedia Information Systems
Pattern matching
Pattern Recognition
Programmers
Programming languages
Real-time programming
Semantics
Signal processing
Signal,Image and Speech Processing
Special Issue Paper
Transition rules
Video data
HOG
Real-time image processing
DSL
FPGA
Dataflow
ISSN:1861-8200, 1861-8219
Online Access:Get full text
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Summary:We describe the application of the caph programming language to the implementation of complex real-time image processing application on a FPGA embedded in a smart camera architecture. caph is based upon the dataflow model of computation. Applications are described as networks of purely dataflow actors exchanging tokens through unidirectional channels and the behavior of each actor is defined as a set of transition rules using pattern matching. We show that this model is naturally suited to the description of applications operating on the fly on digital video streams and supports a fully automated compilation path producing efficient VHDL code. This is demonstrated on an application performing the extraction of HOG (histogram of oriented gradient) feature vectors in real time on the dreamcam smart camera, an experimental platform developed at our institute.
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ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-014-0462-6