A real-time FPGA based human detector

Pei Yung Hsiao; Shih Yu Lin; Chuen Yau Chen

doi:10.1109/IS3C.2016.256

A real-time FPGA based human detector

Pei Yung Hsiao, Shih Yu Lin, Chuen Yau Chen

Nat'l Univ. of Kaohsiung

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

An ARM-platform and FPGA-based accelerator rather than PC-based system is utilized in this study for completing a real-time FPGA-based human detector. The system presents the advantages of small size, low cost, high computing speed, and being portable and could be built in small cameras for surveillance applications. When background segmentation is introduced, the computing efficiency could reach about 15 fps. Moreover, this study has proven that the reduction on the total detection rate is less than 0.3% while changing HOG algorithm into the presented FPGA hardware implementation.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1014-1017
Number of pages	4
ISBN (Electronic)	9781509030712
DOIs	https://doi.org/10.1109/IS3C.2016.256
State	Published - 16 08 2016
Externally published	Yes
Event	2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 - Xi'an, China Duration: 04 07 2016 → 06 07 2016

Publication series

Name	Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016

Conference

Conference	2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
Country/Territory	China
City	Xi'an
Period	04/07/16 → 06/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

FPGA Accelerator
HOG
Human Detection
Machine Learning
Real-Time Embedded System

Access to Document

10.1109/IS3C.2016.256

Cite this

Hsiao, P. Y., Lin, S. Y., & Chen, C. Y. (2016). A real-time FPGA based human detector. In Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 (pp. 1014-1017). Article 7545366 (Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS3C.2016.256

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title = "A real-time FPGA based human detector",

abstract = "An ARM-platform and FPGA-based accelerator rather than PC-based system is utilized in this study for completing a real-time FPGA-based human detector. The system presents the advantages of small size, low cost, high computing speed, and being portable and could be built in small cameras for surveillance applications. When background segmentation is introduced, the computing efficiency could reach about 15 fps. Moreover, this study has proven that the reduction on the total detection rate is less than 0.3% while changing HOG algorithm into the presented FPGA hardware implementation.",

keywords = "FPGA Accelerator, HOG, Human Detection, Machine Learning, Real-Time Embedded System",

author = "Hsiao, {Pei Yung} and Lin, {Shih Yu} and Chen, {Chuen Yau}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 ; Conference date: 04-07-2016 Through 06-07-2016",

year = "2016",

month = aug,

day = "16",

doi = "10.1109/IS3C.2016.256",

language = "英语",

series = "Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016",

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Hsiao, PY, Lin, SY & Chen, CY 2016, A real-time FPGA based human detector. in Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016., 7545366, Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1014-1017, 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016, Xi'an, China, 04/07/16. https://doi.org/10.1109/IS3C.2016.256

A real-time FPGA based human detector. / Hsiao, Pei Yung; Lin, Shih Yu; Chen, Chuen Yau.
Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1014-1017 7545366 (Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - HOG

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A real-time FPGA based human detector

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