DESIGN AND IMPLEMENTATION OF IMAGE FEATURE PARALLEL COMPUTING SYSTEM BASED ON FGPA

Jiachen An; Min Xie; Zhifeng Ma; Peiyu Cong; Xiaofeng Zhang; Hongyan Su; Xiongjun Fu

doi:10.1049/icp.2021.0762

DESIGN AND IMPLEMENTATION OF IMAGE FEATURE PARALLEL COMPUTING SYSTEM BASED ON FGPA

Jiachen An, Min Xie^*, Zhifeng Ma, Peiyu Cong, Xiaofeng Zhang, Hongyan Su, Xiongjun Fu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

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

1 Citation (Scopus)

Abstract

The extraction of image features is the basis for the realization of image tracking algorithms. In the field of civil radar, an algorithm for pedestrian recognition by fusion of visual information and millimeter-wave radar information has emerged. The fusion of visual feature information with radar information is a development direction in the field of target detection in the future. This paper introduces an feature calculation system, which uses the high parallelism of FPGA to complete the calculation of HOG and LBP features and uses advanced fusion to quickly complete the fusion of the two features. At the same time, the system designed an improved double-pipeline structure to calculate the HAAR feature. The final feature calculation system is implemented on the Zedboard of Xilinx. And apply it to a specific tracking algorithm, the algorithm processing efficiency is greatly improved.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	919-923
Number of pages	5
Volume	2020
Edition	9
ISBN (Electronic)	9781839535406
DOIs	https://doi.org/10.1049/icp.2021.0762
Publication status	Published - 2020
Event	5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020

Conference

Conference	5th IET International Radar Conference, IET IRC 2020
City	Virtual, Online
Period	4/11/20 → 6/11/20

Keywords

ADVANCED FUSION
FEATURE FUSION
FPGA
IMPROVED DOUBLE-PIPELINE

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10.1049/icp.2021.0762

Cite this

@inproceedings{ac4828ac2013414497d5f4249b78f27e,

title = "DESIGN AND IMPLEMENTATION OF IMAGE FEATURE PARALLEL COMPUTING SYSTEM BASED ON FGPA",

abstract = "The extraction of image features is the basis for the realization of image tracking algorithms. In the field of civil radar, an algorithm for pedestrian recognition by fusion of visual information and millimeter-wave radar information has emerged. The fusion of visual feature information with radar information is a development direction in the field of target detection in the future. This paper introduces an feature calculation system, which uses the high parallelism of FPGA to complete the calculation of HOG and LBP features and uses advanced fusion to quickly complete the fusion of the two features. At the same time, the system designed an improved double-pipeline structure to calculate the HAAR feature. The final feature calculation system is implemented on the Zedboard of Xilinx. And apply it to a specific tracking algorithm, the algorithm processing efficiency is greatly improved.",

keywords = "ADVANCED FUSION, FEATURE FUSION, FPGA, IMPROVED DOUBLE-PIPELINE",

author = "Jiachen An and Min Xie and Zhifeng Ma and Peiyu Cong and Xiaofeng Zhang and Hongyan Su and Xiongjun Fu",

note = "Publisher Copyright: {\textcopyright} 2020 IET Conference Proceedings. All rights reserved.; 5th IET International Radar Conference, IET IRC 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

year = "2020",

doi = "10.1049/icp.2021.0762",

language = "English",

volume = "2020",

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publisher = "Institution of Engineering and Technology",

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edition = "9",

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T1 - DESIGN AND IMPLEMENTATION OF IMAGE FEATURE PARALLEL COMPUTING SYSTEM BASED ON FGPA

AU - An, Jiachen

AU - Xie, Min

AU - Ma, Zhifeng

AU - Cong, Peiyu

AU - Zhang, Xiaofeng

AU - Su, Hongyan

AU - Fu, Xiongjun

PY - 2020

Y1 - 2020

N2 - The extraction of image features is the basis for the realization of image tracking algorithms. In the field of civil radar, an algorithm for pedestrian recognition by fusion of visual information and millimeter-wave radar information has emerged. The fusion of visual feature information with radar information is a development direction in the field of target detection in the future. This paper introduces an feature calculation system, which uses the high parallelism of FPGA to complete the calculation of HOG and LBP features and uses advanced fusion to quickly complete the fusion of the two features. At the same time, the system designed an improved double-pipeline structure to calculate the HAAR feature. The final feature calculation system is implemented on the Zedboard of Xilinx. And apply it to a specific tracking algorithm, the algorithm processing efficiency is greatly improved.

AB - The extraction of image features is the basis for the realization of image tracking algorithms. In the field of civil radar, an algorithm for pedestrian recognition by fusion of visual information and millimeter-wave radar information has emerged. The fusion of visual feature information with radar information is a development direction in the field of target detection in the future. This paper introduces an feature calculation system, which uses the high parallelism of FPGA to complete the calculation of HOG and LBP features and uses advanced fusion to quickly complete the fusion of the two features. At the same time, the system designed an improved double-pipeline structure to calculate the HAAR feature. The final feature calculation system is implemented on the Zedboard of Xilinx. And apply it to a specific tracking algorithm, the algorithm processing efficiency is greatly improved.

KW - ADVANCED FUSION

KW - FEATURE FUSION

KW - FPGA

KW - IMPROVED DOUBLE-PIPELINE

UR - http://www.scopus.com/inward/record.url?scp=85164259514&partnerID=8YFLogxK

U2 - 10.1049/icp.2021.0762

DO - 10.1049/icp.2021.0762

M3 - Conference contribution

AN - SCOPUS:85164259514

VL - 2020

SP - 919

EP - 923

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 5th IET International Radar Conference, IET IRC 2020

Y2 - 4 November 2020 through 6 November 2020

ER -

DESIGN AND IMPLEMENTATION OF IMAGE FEATURE PARALLEL COMPUTING SYSTEM BASED ON FGPA

Abstract

Conference

Keywords

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