Video object segmentation based on superpixel trajectories

Mohamed A. Abdelwahab; Moataz M. Abdelwahab; Hideaki Uchiyama; Atsushi Shimada; Rin Ichiro Taniguchi

doi:10.1007/978-3-319-41501-7_22

Video object segmentation based on superpixel trajectories

Mohamed A. Abdelwahab, Moataz M. Abdelwahab, Hideaki Uchiyama, Atsushi Shimada, Rin Ichiro Taniguchi

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

2 Citations (Scopus)

Abstract

In this paper, a video object segmentation method utilizing the motion of superpixel centroids is proposed. Our method achieves the same advantages of methods based on clustering point trajectories, furthermore obtaining dense clustering labels from sparse ones becomes very easy. Simply for each superpixel the label of its centroid is propagated to all its entire pixels. In addition to the motion of superpixel centroids, histogram of oriented optical flow, HOOF, extracted from superpixels is used as a second feature. After segmenting each object, we distinguish between foreground objects and the background utilizing the obtained clustering results.

Original language	English
Title of host publication	Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings
Editors	Aurelio Campilho, Aurelio Campilho, Fakhri Karray
Publisher	Springer Verlag
Pages	191-197
Number of pages	7
ISBN (Print)	9783319415000
DOIs	https://doi.org/10.1007/978-3-319-41501-7_22
Publication status	Published - 2016
Event	13th International Conference on Image Analysis and Recognition, ICIAR 2016 - Povoa de Varzim, Portugal Duration: Jul 13 2016 → Jul 16 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9730
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th International Conference on Image Analysis and Recognition, ICIAR 2016
Country/Territory	Portugal
City	Povoa de Varzim
Period	7/13/16 → 7/16/16

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-41501-7_22

Cite this

Abdelwahab, M. A., Abdelwahab, M. M., Uchiyama, H., Shimada, A., & Taniguchi, R. I. (2016). Video object segmentation based on superpixel trajectories. In A. Campilho, A. Campilho, & F. Karray (Eds.), Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings (pp. 191-197). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9730). Springer Verlag. https://doi.org/10.1007/978-3-319-41501-7_22

Video object segmentation based on superpixel trajectories. / Abdelwahab, Mohamed A.; Abdelwahab, Moataz M.; Uchiyama, Hideaki; Shimada, Atsushi ; Taniguchi, Rin Ichiro.

Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings. ed. / Aurelio Campilho; Aurelio Campilho; Fakhri Karray. Springer Verlag, 2016. p. 191-197 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9730).

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

Abdelwahab, MA, Abdelwahab, MM, Uchiyama, H, Shimada, A & Taniguchi, RI 2016, Video object segmentation based on superpixel trajectories. in A Campilho, A Campilho & F Karray (eds), Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9730, Springer Verlag, pp. 191-197, 13th International Conference on Image Analysis and Recognition, ICIAR 2016, Povoa de Varzim, Portugal, 7/13/16. https://doi.org/10.1007/978-3-319-41501-7_22

Abdelwahab MA, Abdelwahab MM, Uchiyama H, Shimada A , Taniguchi RI. Video object segmentation based on superpixel trajectories. In Campilho A, Campilho A, Karray F, editors, Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings. Springer Verlag. 2016. p. 191-197. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-41501-7_22

Abdelwahab, Mohamed A. ; Abdelwahab, Moataz M. ; Uchiyama, Hideaki ; Shimada, Atsushi ; Taniguchi, Rin Ichiro. / Video object segmentation based on superpixel trajectories. Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings. editor / Aurelio Campilho ; Aurelio Campilho ; Fakhri Karray. Springer Verlag, 2016. pp. 191-197 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0ca3ebdc87cc4adb84074c267d09afc3,

title = "Video object segmentation based on superpixel trajectories",

abstract = "In this paper, a video object segmentation method utilizing the motion of superpixel centroids is proposed. Our method achieves the same advantages of methods based on clustering point trajectories, furthermore obtaining dense clustering labels from sparse ones becomes very easy. Simply for each superpixel the label of its centroid is propagated to all its entire pixels. In addition to the motion of superpixel centroids, histogram of oriented optical flow, HOOF, extracted from superpixels is used as a second feature. After segmenting each object, we distinguish between foreground objects and the background utilizing the obtained clustering results.",

author = "Abdelwahab, {Mohamed A.} and Abdelwahab, {Moataz M.} and Hideaki Uchiyama and Atsushi Shimada and Taniguchi, {Rin Ichiro}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th International Conference on Image Analysis and Recognition, ICIAR 2016 ; Conference date: 13-07-2016 Through 16-07-2016",

year = "2016",

doi = "10.1007/978-3-319-41501-7_22",

language = "English",

isbn = "9783319415000",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "191--197",

editor = "Aurelio Campilho and Aurelio Campilho and Fakhri Karray",

booktitle = "Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings",

address = "Germany",

}

TY - GEN

T1 - Video object segmentation based on superpixel trajectories

AU - Abdelwahab, Mohamed A.

AU - Abdelwahab, Moataz M.

AU - Uchiyama, Hideaki

AU - Shimada, Atsushi

AU - Taniguchi, Rin Ichiro

PY - 2016

Y1 - 2016

N2 - In this paper, a video object segmentation method utilizing the motion of superpixel centroids is proposed. Our method achieves the same advantages of methods based on clustering point trajectories, furthermore obtaining dense clustering labels from sparse ones becomes very easy. Simply for each superpixel the label of its centroid is propagated to all its entire pixels. In addition to the motion of superpixel centroids, histogram of oriented optical flow, HOOF, extracted from superpixels is used as a second feature. After segmenting each object, we distinguish between foreground objects and the background utilizing the obtained clustering results.

AB - In this paper, a video object segmentation method utilizing the motion of superpixel centroids is proposed. Our method achieves the same advantages of methods based on clustering point trajectories, furthermore obtaining dense clustering labels from sparse ones becomes very easy. Simply for each superpixel the label of its centroid is propagated to all its entire pixels. In addition to the motion of superpixel centroids, histogram of oriented optical flow, HOOF, extracted from superpixels is used as a second feature. After segmenting each object, we distinguish between foreground objects and the background utilizing the obtained clustering results.

UR - http://www.scopus.com/inward/record.url?scp=84978884587&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978884587&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-41501-7_22

DO - 10.1007/978-3-319-41501-7_22

M3 - Conference contribution

AN - SCOPUS:84978884587

SN - 9783319415000

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 191

EP - 197

BT - Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings

A2 - Campilho, Aurelio

A2 - Karray, Fakhri

PB - Springer Verlag

T2 - 13th International Conference on Image Analysis and Recognition, ICIAR 2016

Y2 - 13 July 2016 through 16 July 2016

ER -

Video object segmentation based on superpixel trajectories

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this