Moving object detection under dynamic background in 3D range data

Yang Yi; Yan Guang; Zhu Hao; Fu Meng-Yin; Wang Mei-Ling

doi:10.1109/IVS.2014.6856426

Moving object detection under dynamic background in 3D range data

Yang Yi
, Yan Guang
, Zhu Hao
, Fu Meng-Yin
, Wang Mei-Ling

School of Automation

Beijing Institute of Technology

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

8 Citations (Scopus)

Abstract

We proposed an unsupervised algorithm to extract profile features and detect moving object under dynamic background in 3D range Data. Moving object detection under dynamic background has become an increasingly popular research topic in mobile robotics. For the characteristics of dynamic background scene, we proposed an online unsupervised moving object detection algorithm, based on Gaussian Mixture Models and Motion Compensation. Furthermore, we did the work of clustering and identifying of the targets. In order to improve the robustness of the algorithm, we used a tracker to track the results of the detection. At last, experimental results on real laser data depicting urban and rural scenes under static and dynamic background are presented.

Original language	English
Title of host publication	2014 IEEE Intelligent Vehicles Symposium, IV 2004 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	394-399
Number of pages	6
ISBN (Print)	9781479936380
DOIs	https://doi.org/10.1109/IVS.2014.6856426
Publication status	Published - 2014
Event	25th IEEE Intelligent Vehicles Symposium, IV 2014 - Dearborn, MI, United States Duration: 8 Jun 2014 → 11 Jun 2014

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference	25th IEEE Intelligent Vehicles Symposium, IV 2014
Country/Territory	United States
City	Dearborn, MI
Period	8/06/14 → 11/06/14

Access to Document

10.1109/IVS.2014.6856426

Cite this

Yi, Y., Guang, Y., Hao, Z., Meng-Yin, F., & Mei-Ling, W. (2014). Moving object detection under dynamic background in 3D range data. In 2014 IEEE Intelligent Vehicles Symposium, IV 2004 - Proceedings (pp. 394-399). Article 6856426 (IEEE Intelligent Vehicles Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IVS.2014.6856426

@inproceedings{1f077d4738914b1482bf695e5c40ec51,

title = "Moving object detection under dynamic background in 3D range data",

abstract = "We proposed an unsupervised algorithm to extract profile features and detect moving object under dynamic background in 3D range Data. Moving object detection under dynamic background has become an increasingly popular research topic in mobile robotics. For the characteristics of dynamic background scene, we proposed an online unsupervised moving object detection algorithm, based on Gaussian Mixture Models and Motion Compensation. Furthermore, we did the work of clustering and identifying of the targets. In order to improve the robustness of the algorithm, we used a tracker to track the results of the detection. At last, experimental results on real laser data depicting urban and rural scenes under static and dynamic background are presented.",

author = "Yang Yi and Yan Guang and Zhu Hao and Fu Meng-Yin and Wang Mei-Ling",

year = "2014",

doi = "10.1109/IVS.2014.6856426",

language = "English",

isbn = "9781479936380",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

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

pages = "394--399",

booktitle = "2014 IEEE Intelligent Vehicles Symposium, IV 2004 - Proceedings",

address = "United States",

note = "25th IEEE Intelligent Vehicles Symposium, IV 2014 ; Conference date: 08-06-2014 Through 11-06-2014",

}

Yi, Y, Guang, Y, Hao, Z, Meng-Yin, F & Mei-Ling, W 2014, Moving object detection under dynamic background in 3D range data. in 2014 IEEE Intelligent Vehicles Symposium, IV 2004 - Proceedings., 6856426, IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 394-399, 25th IEEE Intelligent Vehicles Symposium, IV 2014, Dearborn, MI, United States, 8/06/14. https://doi.org/10.1109/IVS.2014.6856426

Moving object detection under dynamic background in 3D range data. / Yi, Yang; Guang, Yan; Hao, Zhu et al.
2014 IEEE Intelligent Vehicles Symposium, IV 2004 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 394-399 6856426 (IEEE Intelligent Vehicles Symposium, Proceedings).

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

TY - GEN

T1 - Moving object detection under dynamic background in 3D range data

AU - Yi, Yang

AU - Guang, Yan

AU - Hao, Zhu

AU - Meng-Yin, Fu

AU - Mei-Ling, Wang

PY - 2014

Y1 - 2014

N2 - We proposed an unsupervised algorithm to extract profile features and detect moving object under dynamic background in 3D range Data. Moving object detection under dynamic background has become an increasingly popular research topic in mobile robotics. For the characteristics of dynamic background scene, we proposed an online unsupervised moving object detection algorithm, based on Gaussian Mixture Models and Motion Compensation. Furthermore, we did the work of clustering and identifying of the targets. In order to improve the robustness of the algorithm, we used a tracker to track the results of the detection. At last, experimental results on real laser data depicting urban and rural scenes under static and dynamic background are presented.

AB - We proposed an unsupervised algorithm to extract profile features and detect moving object under dynamic background in 3D range Data. Moving object detection under dynamic background has become an increasingly popular research topic in mobile robotics. For the characteristics of dynamic background scene, we proposed an online unsupervised moving object detection algorithm, based on Gaussian Mixture Models and Motion Compensation. Furthermore, we did the work of clustering and identifying of the targets. In order to improve the robustness of the algorithm, we used a tracker to track the results of the detection. At last, experimental results on real laser data depicting urban and rural scenes under static and dynamic background are presented.

UR - https://www.scopus.com/pages/publications/84905365970

U2 - 10.1109/IVS.2014.6856426

DO - 10.1109/IVS.2014.6856426

M3 - Conference contribution

AN - SCOPUS:84905365970

SN - 9781479936380

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 394

EP - 399

BT - 2014 IEEE Intelligent Vehicles Symposium, IV 2004 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th IEEE Intelligent Vehicles Symposium, IV 2014

Y2 - 8 June 2014 through 11 June 2014

ER -

Moving object detection under dynamic background in 3D range data

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