A novel moving object tracking method using ICA-R

Xiaohong Ma; Lixin Wang; Yi Feng; Hualou Liang

doi:10.1007/978-3-642-01510-6_97

A novel moving object tracking method using ICA-R

Xiaohong Ma, Lixin Wang, Yi Feng, Hualou Liang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, the independent component analysis with reference (ICA-R) algorithm is proposed to track moving object. Taking the invariant moment of the detected object image as the reference signal, the moving object which shares the same characteristic as the reference can be extracted from the video frames through the ICA-R algorithm. Our algorithm can easily be extended to tackle the non-totally occlusion problem: the detected object image is first divided into either two or four parts and the unoccluded sub-parts can then be tracked through the ICA-R algorithm. As a result, the tracking of the whole moving object can be realized. The experimental results demonstrate the effectiveness of the proposed method.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2009
Subtitle of host publication	6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II
Editors	Wen Yu, Haibo He, Nian Zhang
Publisher	Springer
Pages	859-864
Number of pages	6
ISBN (Electronic)	9783642015106
ISBN (Print)	9783642015090
DOIs	https://doi.org/10.1007/978-3-642-01510-6_97
Publication status	Published - 7 May 2009
Externally published	Yes
Event	6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China Duration: 26 May 2009 → 29 May 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Symposium on Neural Networks, ISNN 2009
Country/Territory	China
City	Wuhan
Period	26/05/09 → 29/05/09

Keywords

Independent component analysis with reference (ICA-R)
Invariant moment
Moving object tracking
Occlusion

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-642-01510-6_97

Cite this

Ma, X., Wang, L., Feng, Y., & Liang, H. (2009). A novel moving object tracking method using ICA-R. In W. Yu, H. He, & N. Zhang (Eds.), Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II (pp. 859-864). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2). Springer. https://doi.org/10.1007/978-3-642-01510-6_97

Ma, Xiaohong ; Wang, Lixin ; Feng, Yi et al. / A novel moving object tracking method using ICA-R. Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II. editor / Wen Yu ; Haibo He ; Nian Zhang. Springer, 2009. pp. 859-864 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "A novel moving object tracking method using ICA-R",

abstract = "In this paper, the independent component analysis with reference (ICA-R) algorithm is proposed to track moving object. Taking the invariant moment of the detected object image as the reference signal, the moving object which shares the same characteristic as the reference can be extracted from the video frames through the ICA-R algorithm. Our algorithm can easily be extended to tackle the non-totally occlusion problem: the detected object image is first divided into either two or four parts and the unoccluded sub-parts can then be tracked through the ICA-R algorithm. As a result, the tracking of the whole moving object can be realized. The experimental results demonstrate the effectiveness of the proposed method.",

keywords = "Independent component analysis with reference (ICA-R), Invariant moment, Moving object tracking, Occlusion",

author = "Xiaohong Ma and Lixin Wang and Yi Feng and Hualou Liang",

year = "2009",

month = may,

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doi = "10.1007/978-3-642-01510-6\_97",

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editor = "Wen Yu and Haibo He and Nian Zhang",

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Ma, X, Wang, L, Feng, Y & Liang, H 2009, A novel moving object tracking method using ICA-R. in W Yu, H He & N Zhang (eds), Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5552 LNCS, Springer, pp. 859-864, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, 26/05/09. https://doi.org/10.1007/978-3-642-01510-6_97

A novel moving object tracking method using ICA-R. / Ma, Xiaohong; Wang, Lixin; Feng, Yi et al.
Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II. ed. / Wen Yu; Haibo He; Nian Zhang. Springer, 2009. p. 859-864 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Ma, Xiaohong

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AU - Feng, Yi

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N2 - In this paper, the independent component analysis with reference (ICA-R) algorithm is proposed to track moving object. Taking the invariant moment of the detected object image as the reference signal, the moving object which shares the same characteristic as the reference can be extracted from the video frames through the ICA-R algorithm. Our algorithm can easily be extended to tackle the non-totally occlusion problem: the detected object image is first divided into either two or four parts and the unoccluded sub-parts can then be tracked through the ICA-R algorithm. As a result, the tracking of the whole moving object can be realized. The experimental results demonstrate the effectiveness of the proposed method.

AB - In this paper, the independent component analysis with reference (ICA-R) algorithm is proposed to track moving object. Taking the invariant moment of the detected object image as the reference signal, the moving object which shares the same characteristic as the reference can be extracted from the video frames through the ICA-R algorithm. Our algorithm can easily be extended to tackle the non-totally occlusion problem: the detected object image is first divided into either two or four parts and the unoccluded sub-parts can then be tracked through the ICA-R algorithm. As a result, the tracking of the whole moving object can be realized. The experimental results demonstrate the effectiveness of the proposed method.

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Ma X, Wang L, Feng Y, Liang H. A novel moving object tracking method using ICA-R. In Yu W, He H, Zhang N, editors, Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II. Springer. 2009. p. 859-864. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-01510-6_97

A novel moving object tracking method using ICA-R

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Keywords

ASJC Scopus subject areas

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