A Real-time Visual UAV Detection Algorithm on Jetson TX2

Zipeng Zhang; Linbo Tang; Yibing Tian; Yu Pan

doi:10.1109/ICSIDP47821.2019.9173005

A Real-time Visual UAV Detection Algorithm on Jetson TX2

Zipeng Zhang
, Linbo Tang
, Yibing Tian
, Yu Pan

School of Information and Electronics

Beijing Institute of Technology

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

4 Citations (Scopus)

Abstract

Unmanned aerial vehicles (UAVs) are now widely used in civil applications. Uncontrolled UAVs may cause some harm to the order of flight fields and other places. An adaptive UAV detection algorithm based on maximally stable extremal regions method is proposed for small target detection of UAV in video. By optimizing the MSER algorithm, this UAV detection algorithm can detect video in real time and has sufficient robustness. At the same time, we combined discriminative scale space tracker algorithm to test the existing video, and got good real-time performance. Considering the practical application scenarios, we use NVIDIA Jetson TX2 to test the algorithm and collate the results. The results show that our method performs well.

Original language	English
Title of host publication	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123455
DOIs	https://doi.org/10.1109/ICSIDP47821.2019.9173005
Publication status	Published - Dec 2019
Event	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

Name	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/Territory	China
City	Chongqing
Period	11/12/19 → 13/12/19

Keywords

UAV
discriminative scale space tracker
maximally stable extremal regions
real time

Access to Document

10.1109/ICSIDP47821.2019.9173005

Cite this

Zhang, Z., Tang, L., Tian, Y., & Pan, Y. (2019). A Real-time Visual UAV Detection Algorithm on Jetson TX2. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 Article 9173005 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173005

@inproceedings{397fa00eab1b47eeadfb2c8f4467b2b3,

title = "A Real-time Visual UAV Detection Algorithm on Jetson TX2",

abstract = "Unmanned aerial vehicles (UAVs) are now widely used in civil applications. Uncontrolled UAVs may cause some harm to the order of flight fields and other places. An adaptive UAV detection algorithm based on maximally stable extremal regions method is proposed for small target detection of UAV in video. By optimizing the MSER algorithm, this UAV detection algorithm can detect video in real time and has sufficient robustness. At the same time, we combined discriminative scale space tracker algorithm to test the existing video, and got good real-time performance. Considering the practical application scenarios, we use NVIDIA Jetson TX2 to test the algorithm and collate the results. The results show that our method performs well.",

keywords = "UAV, discriminative scale space tracker, maximally stable extremal regions, real time",

author = "Zipeng Zhang and Linbo Tang and Yibing Tian and Yu Pan",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICSIDP47821.2019.9173005",

language = "English",

series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

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

booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

address = "United States",

}

Zhang, Z, Tang, L, Tian, Y & Pan, Y 2019, A Real-time Visual UAV Detection Algorithm on Jetson TX2. in ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019., 9173005, ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019, Chongqing, China, 11/12/19. https://doi.org/10.1109/ICSIDP47821.2019.9173005

A Real-time Visual UAV Detection Algorithm on Jetson TX2. / Zhang, Zipeng; Tang, Linbo; Tian, Yibing et al.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9173005 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

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

TY - GEN

T1 - A Real-time Visual UAV Detection Algorithm on Jetson TX2

AU - Zhang, Zipeng

AU - Tang, Linbo

AU - Tian, Yibing

AU - Pan, Yu

PY - 2019/12

Y1 - 2019/12

N2 - Unmanned aerial vehicles (UAVs) are now widely used in civil applications. Uncontrolled UAVs may cause some harm to the order of flight fields and other places. An adaptive UAV detection algorithm based on maximally stable extremal regions method is proposed for small target detection of UAV in video. By optimizing the MSER algorithm, this UAV detection algorithm can detect video in real time and has sufficient robustness. At the same time, we combined discriminative scale space tracker algorithm to test the existing video, and got good real-time performance. Considering the practical application scenarios, we use NVIDIA Jetson TX2 to test the algorithm and collate the results. The results show that our method performs well.

AB - Unmanned aerial vehicles (UAVs) are now widely used in civil applications. Uncontrolled UAVs may cause some harm to the order of flight fields and other places. An adaptive UAV detection algorithm based on maximally stable extremal regions method is proposed for small target detection of UAV in video. By optimizing the MSER algorithm, this UAV detection algorithm can detect video in real time and has sufficient robustness. At the same time, we combined discriminative scale space tracker algorithm to test the existing video, and got good real-time performance. Considering the practical application scenarios, we use NVIDIA Jetson TX2 to test the algorithm and collate the results. The results show that our method performs well.

KW - UAV

KW - discriminative scale space tracker

KW - maximally stable extremal regions

KW - real time

UR - https://www.scopus.com/pages/publications/85091911884

U2 - 10.1109/ICSIDP47821.2019.9173005

DO - 10.1109/ICSIDP47821.2019.9173005

M3 - Conference contribution

AN - SCOPUS:85091911884

T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

Zhang Z, Tang L, Tian Y, Pan Y. A Real-time Visual UAV Detection Algorithm on Jetson TX2. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9173005. (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). doi: 10.1109/ICSIDP47821.2019.9173005

A Real-time Visual UAV Detection Algorithm on Jetson TX2

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