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Signal Processing Methods for Light Field Displays Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Programmable Architectures for Histogram of Oriented Gradients Processing

Authors : Colm Kelly, Roger Woods, Moslem Amiri, Fahad Siddiqui, Karen Rafferty

Published in: Handbook of Signal Processing Systems

Publisher: Springer International Publishing

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Abstract

There is an increasing demand for high performance image processing platforms based on field programmable gate array (FPGA). The Histogram of Orientated Gradients (HOG) algorithm is a feature descriptor algorithm used in object detection for many security applications. The chapter examines the implementation of this key algorithm using an FPGA-based soft-core architecture approach. Firstly, the HOG algorithm is described and its performance profiled from a computation and bandwidth perspective. Then the IPPro soft-core processor architecture is introduced and a number of mapping strategies are covered. A HOG implementation is demonstrated on a Zynq platform, resulting in a design operating at 15.36 fps; this compares favorably with the performance and resources of hand-crafted VHDL code.

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Metadata
Title
Programmable Architectures for Histogram of Oriented Gradients Processing
Authors
Colm Kelly
Roger Woods
Moslem Amiri
Fahad Siddiqui
Karen Rafferty
Copyright Year
2019
Book
Handbook of Signal Processing Systems

Print ISBN: 978-3-319-91733-7

Electronic ISBN: 978-3-319-91734-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-91734-4_18