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Approach to automatic video motion segmentation

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Approach to automatic video motion segmentation. / Jiang, R.M.; Crookes, D.
In: Electronics Letters, Vol. 43, No. 18, 2007, p. 968 - 970.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jiang, RM & Crookes, D 2007, 'Approach to automatic video motion segmentation', Electronics Letters, vol. 43, no. 18, pp. 968 - 970. https://doi.org/10.1049/el:20070663

APA

Jiang, R. M., & Crookes, D. (2007). Approach to automatic video motion segmentation. Electronics Letters, 43(18), 968 - 970. https://doi.org/10.1049/el:20070663

Vancouver

Jiang RM, Crookes D. Approach to automatic video motion segmentation. Electronics Letters. 2007;43(18):968 - 970. doi: 10.1049/el:20070663

Author

Jiang, R.M. ; Crookes, D. / Approach to automatic video motion segmentation. In: Electronics Letters. 2007 ; Vol. 43, No. 18. pp. 968 - 970.

Bibtex

@article{3e48ab372a134dcdbb20b3861d01f33e,
title = "Approach to automatic video motion segmentation",
abstract = "A novel, fast automatic motion segmentation approach is presented. It differs from conventional pixel or edge based motion segmentation approaches in that the proposed method uses labelled regions (facets) to segment various video objects from the background. Facets are clustered into objects based on their motion and proximity details using Bayesian logic. Because the number of facets is usually much lower than the number of edges and points, using facets can greatly reduce the computational complexity of motion segmentation. The proposed method can tackle efficiently the complexity of video object motion tracking, and offers potential for real-time content-based video annotation.",
author = "R.M. Jiang and D. Crookes",
year = "2007",
doi = "10.1049/el:20070663",
language = "English",
volume = "43",
pages = "968 -- 970",
journal = "Electronics Letters",
issn = "0013-5194",
publisher = "Institution of Engineering and Technology",
number = "18",

}

RIS

TY - JOUR

T1 - Approach to automatic video motion segmentation

AU - Jiang, R.M.

AU - Crookes, D.

PY - 2007

Y1 - 2007

N2 - A novel, fast automatic motion segmentation approach is presented. It differs from conventional pixel or edge based motion segmentation approaches in that the proposed method uses labelled regions (facets) to segment various video objects from the background. Facets are clustered into objects based on their motion and proximity details using Bayesian logic. Because the number of facets is usually much lower than the number of edges and points, using facets can greatly reduce the computational complexity of motion segmentation. The proposed method can tackle efficiently the complexity of video object motion tracking, and offers potential for real-time content-based video annotation.

AB - A novel, fast automatic motion segmentation approach is presented. It differs from conventional pixel or edge based motion segmentation approaches in that the proposed method uses labelled regions (facets) to segment various video objects from the background. Facets are clustered into objects based on their motion and proximity details using Bayesian logic. Because the number of facets is usually much lower than the number of edges and points, using facets can greatly reduce the computational complexity of motion segmentation. The proposed method can tackle efficiently the complexity of video object motion tracking, and offers potential for real-time content-based video annotation.

U2 - 10.1049/el:20070663

DO - 10.1049/el:20070663

M3 - Journal article

VL - 43

SP - 968

EP - 970

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 18

ER -