Design of Embedded Target Tracking System Based on MobileNet and KCF

Chunling Yang; Zhenwei Chen; Yan Zhang; Yuze Li

doi:10.1109/ICIEA48937.2020.9248155

Design of Embedded Target Tracking System Based on MobileNet and KCF

Chunling Yang
, Zhenwei Chen
, Yan Zhang
, Yuze Li

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

4 Scopus citations

Abstract

With the development of computer technology, people pay more attention to target detection and tracking technology. The computer vision technology can be used to detect and track the target in the monitoring scene. However, the tracking algorithms are usually programed on the computer platform and cannot be utilized for automatically tracking, which severely limits the application scope of the target tracking system. In this paper, we construct a target detection and tracking system based on the embedded development board and image analysis technology. The int8 quantized MobileNetSSD network model is utilized and the improved kernel correlation filtering (KCF) target tracking algorithm is transplanted to the embedded development board. The video data is collected through the external camera and the tracking information is output to the display screen in a real time. At last, an experimental platform is built to verify the feasibility of the tracking algorithm based on the embedded development board.

Original language	English
Title of host publication	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1578-1581
Number of pages	4
ISBN (Electronic)	9781728151694
DOIs	https://doi.org/10.1109/ICIEA48937.2020.9248155
State	Published - 9 Nov 2020
Externally published	Yes
Event	15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway Duration: 9 Nov 2020 → 13 Nov 2020

Publication series

Name	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Conference

Conference	15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Country/Territory	Norway
City	Virtual, Kristiansand
Period	9/11/20 → 13/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

KCF
MobileNet
embedded system
target detection
target tracking

Access to Document

10.1109/ICIEA48937.2020.9248155

Cite this

Yang, C., Chen, Z., Zhang, Y., & Li, Y. (2020). Design of Embedded Target Tracking System Based on MobileNet and KCF. In Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 (pp. 1578-1581). Article 9248155 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA48937.2020.9248155

Yang, Chunling ; Chen, Zhenwei ; Zhang, Yan et al. / Design of Embedded Target Tracking System Based on MobileNet and KCF. Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1578-1581 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020).

@inproceedings{e27b60d39fe741f99ea95be908c97439,

title = "Design of Embedded Target Tracking System Based on MobileNet and KCF",

abstract = "With the development of computer technology, people pay more attention to target detection and tracking technology. The computer vision technology can be used to detect and track the target in the monitoring scene. However, the tracking algorithms are usually programed on the computer platform and cannot be utilized for automatically tracking, which severely limits the application scope of the target tracking system. In this paper, we construct a target detection and tracking system based on the embedded development board and image analysis technology. The int8 quantized MobileNetSSD network model is utilized and the improved kernel correlation filtering (KCF) target tracking algorithm is transplanted to the embedded development board. The video data is collected through the external camera and the tracking information is output to the display screen in a real time. At last, an experimental platform is built to verify the feasibility of the tracking algorithm based on the embedded development board.",

keywords = "KCF, MobileNet, embedded system, target detection, target tracking",

author = "Chunling Yang and Zhenwei Chen and Yan Zhang and Yuze Li",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 ; Conference date: 09-11-2020 Through 13-11-2020",

year = "2020",

month = nov,

day = "9",

doi = "10.1109/ICIEA48937.2020.9248155",

language = "英语",

series = "Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1578--1581",

booktitle = "Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020",

address = "美国",

}

Yang, C, Chen, Z, Zhang, Y & Li, Y 2020, Design of Embedded Target Tracking System Based on MobileNet and KCF. in Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020., 9248155, Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1578-1581, 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020, Virtual, Kristiansand, Norway, 9/11/20. https://doi.org/10.1109/ICIEA48937.2020.9248155

Design of Embedded Target Tracking System Based on MobileNet and KCF. / Yang, Chunling; Chen, Zhenwei; Zhang, Yan et al.
Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1578-1581 9248155 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020).

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

TY - GEN

T1 - Design of Embedded Target Tracking System Based on MobileNet and KCF

AU - Yang, Chunling

AU - Chen, Zhenwei

AU - Zhang, Yan

AU - Li, Yuze

PY - 2020/11/9

Y1 - 2020/11/9

N2 - With the development of computer technology, people pay more attention to target detection and tracking technology. The computer vision technology can be used to detect and track the target in the monitoring scene. However, the tracking algorithms are usually programed on the computer platform and cannot be utilized for automatically tracking, which severely limits the application scope of the target tracking system. In this paper, we construct a target detection and tracking system based on the embedded development board and image analysis technology. The int8 quantized MobileNetSSD network model is utilized and the improved kernel correlation filtering (KCF) target tracking algorithm is transplanted to the embedded development board. The video data is collected through the external camera and the tracking information is output to the display screen in a real time. At last, an experimental platform is built to verify the feasibility of the tracking algorithm based on the embedded development board.

AB - With the development of computer technology, people pay more attention to target detection and tracking technology. The computer vision technology can be used to detect and track the target in the monitoring scene. However, the tracking algorithms are usually programed on the computer platform and cannot be utilized for automatically tracking, which severely limits the application scope of the target tracking system. In this paper, we construct a target detection and tracking system based on the embedded development board and image analysis technology. The int8 quantized MobileNetSSD network model is utilized and the improved kernel correlation filtering (KCF) target tracking algorithm is transplanted to the embedded development board. The video data is collected through the external camera and the tracking information is output to the display screen in a real time. At last, an experimental platform is built to verify the feasibility of the tracking algorithm based on the embedded development board.

KW - KCF

KW - MobileNet

KW - embedded system

KW - target detection

KW - target tracking

UR - https://www.scopus.com/pages/publications/85097567206

U2 - 10.1109/ICIEA48937.2020.9248155

DO - 10.1109/ICIEA48937.2020.9248155

M3 - 会议稿件

AN - SCOPUS:85097567206

T3 - Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

SP - 1578

EP - 1581

BT - Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Y2 - 9 November 2020 through 13 November 2020

ER -

Yang C, Chen Z, Zhang Y, Li Y. Design of Embedded Target Tracking System Based on MobileNet and KCF. In Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1578-1581. 9248155. (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020). doi: 10.1109/ICIEA48937.2020.9248155

Design of Embedded Target Tracking System Based on MobileNet and KCF

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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