An effective hough transform based track initiation

Shu Ling Jin; Yan Liang; Peng He; Guang Lin Pan; Quan Pan; Yong Mei Cheng

doi:10.1109/ICMLC.2006.258425

An effective hough transform based track initiation

Shu Ling Jin
, Yan Liang
, Peng He
, Guang Lin Pan
, Quan Pan
, Yong Mei Cheng

School of Automation

Northwestern Polytechnical University Xian

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

4 Scopus citations

Abstract

In this paper, a Hough Transform (HT) based track initiation method is proposed to detect targets in 3L (low signal-to-clutter-ratio, low signal-to-noise-ratio, and low detection probability) environment using a new and effective accumulation method. In the new accumulation method, the contributions of each cell's votes are determined by the neighbors of the resolving cell, instead of just the cell itself so that the disturbance of sampled probability density, due to finite samples, can be smoothed. Simulation results show that our method not only makes significant improvement in reducing false tracks but also has stronger robustness to measurement noise and clutters, compared with standard HT based track initiation with binary accumulation.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Publisher	IEEE Computer Society
Pages	3196-3200
Number of pages	5
ISBN (Print)	1424400619, 9781424400614
DOIs	https://doi.org/10.1109/ICMLC.2006.258425
State	Published - 2006
Event	5th International Conference on Machine Learning and Cybernetics, ICMLC 2006 - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume	2006

Conference

Conference	5th International Conference on Machine Learning and Cybernetics, ICMLC 2006
Country/Territory	China
City	Dalian
Period	13/08/06 → 16/08/06

Keywords

Hough transform
Multiple target tracking
Track initiation

Access to Document

10.1109/ICMLC.2006.258425

Cite this

Jin, S. L., Liang, Y., He, P., Pan, G. L., Pan, Q., & Cheng, Y. M. (2006). An effective hough transform based track initiation. In Proceedings of the 2006 International Conference on Machine Learning and Cybernetics (pp. 3196-3200). Article 4028617 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2006.258425

@inproceedings{7cdbe9f7881d4819bcd1c7a3e0d4fed6,

title = "An effective hough transform based track initiation",

abstract = "In this paper, a Hough Transform (HT) based track initiation method is proposed to detect targets in 3L (low signal-to-clutter-ratio, low signal-to-noise-ratio, and low detection probability) environment using a new and effective accumulation method. In the new accumulation method, the contributions of each cell's votes are determined by the neighbors of the resolving cell, instead of just the cell itself so that the disturbance of sampled probability density, due to finite samples, can be smoothed. Simulation results show that our method not only makes significant improvement in reducing false tracks but also has stronger robustness to measurement noise and clutters, compared with standard HT based track initiation with binary accumulation.",

keywords = "Hough transform, Multiple target tracking, Track initiation",

author = "Jin, \{Shu Ling\} and Yan Liang and Peng He and Pan, \{Guang Lin\} and Quan Pan and Cheng, \{Yong Mei\}",

year = "2006",

doi = "10.1109/ICMLC.2006.258425",

language = "英语",

isbn = "1424400619",

series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

publisher = "IEEE Computer Society",

pages = "3196--3200",

booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

note = "5th International Conference on Machine Learning and Cybernetics, ICMLC 2006 ; Conference date: 13-08-2006 Through 16-08-2006",

}

Jin, SL, Liang, Y, He, P, Pan, GL, Pan, Q & Cheng, YM 2006, An effective hough transform based track initiation. in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics., 4028617, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, IEEE Computer Society, pp. 3196-3200, 5th International Conference on Machine Learning and Cybernetics, ICMLC 2006, Dalian, China, 13/08/06. https://doi.org/10.1109/ICMLC.2006.258425

An effective hough transform based track initiation. / Jin, Shu Ling; Liang, Yan; He, Peng et al.
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. IEEE Computer Society, 2006. p. 3196-3200 4028617 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006).

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

TY - GEN

T1 - An effective hough transform based track initiation

AU - Jin, Shu Ling

AU - Liang, Yan

AU - He, Peng

AU - Pan, Guang Lin

AU - Pan, Quan

AU - Cheng, Yong Mei

PY - 2006

Y1 - 2006

N2 - In this paper, a Hough Transform (HT) based track initiation method is proposed to detect targets in 3L (low signal-to-clutter-ratio, low signal-to-noise-ratio, and low detection probability) environment using a new and effective accumulation method. In the new accumulation method, the contributions of each cell's votes are determined by the neighbors of the resolving cell, instead of just the cell itself so that the disturbance of sampled probability density, due to finite samples, can be smoothed. Simulation results show that our method not only makes significant improvement in reducing false tracks but also has stronger robustness to measurement noise and clutters, compared with standard HT based track initiation with binary accumulation.

AB - In this paper, a Hough Transform (HT) based track initiation method is proposed to detect targets in 3L (low signal-to-clutter-ratio, low signal-to-noise-ratio, and low detection probability) environment using a new and effective accumulation method. In the new accumulation method, the contributions of each cell's votes are determined by the neighbors of the resolving cell, instead of just the cell itself so that the disturbance of sampled probability density, due to finite samples, can be smoothed. Simulation results show that our method not only makes significant improvement in reducing false tracks but also has stronger robustness to measurement noise and clutters, compared with standard HT based track initiation with binary accumulation.

KW - Hough transform

KW - Multiple target tracking

KW - Track initiation

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M3 - 会议稿件

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SN - 9781424400614

T3 - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

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BT - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

PB - IEEE Computer Society

T2 - 5th International Conference on Machine Learning and Cybernetics, ICMLC 2006

Y2 - 13 August 2006 through 16 August 2006

ER -

An effective hough transform based track initiation

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Keywords

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