Multiple players tracking and identification using group detection and player number recognition in sports video

Taiki Yamamoto; Hirokatsu Kataoka; Masaki Hayashi; Yoshimitsu Aoki; Kyoko Oshima; Masamoto Tanabiki

doi:10.1109/IECON.2013.6699514

Multiple players tracking and identification using group detection and player number recognition in sports video

Taiki Yamamoto, Hirokatsu Kataoka, Masaki Hayashi, Yoshimitsu Aoki, Kyoko Oshima, Masamoto Tanabiki

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

14 Citations (Scopus)

Abstract

We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players due to frequent occlusions, quick motion of players and camera, and camera position. We propose tracking method that associates tracklets of a same player using results of player number recognition. To deal with frequent occlusions, we detect human region by level set method and then estimates if it is occluded group region or unoccluded individual one. Moreover, we associate tracklets using the results of player number recognition at each frame by keypoints-based matching with templates from multiple viewpoints, so that final tracklets include occluded region.

Original language	English
Title of host publication	Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Pages	2442-2446
Number of pages	5
DOIs	https://doi.org/10.1109/IECON.2013.6699514
Publication status	Published - 2013 Dec 1
Event	39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria Duration: 2013 Nov 10 → 2013 Nov 14

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Other

Other	39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
Country/Territory	Austria
City	Vienna
Period	13/11/10 → 13/11/14

Keywords

Affin Warp
SIFT
data association
level set method
multiple target tracking

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2013.6699514

Cite this

Yamamoto, T., Kataoka, H., Hayashi, M., Aoki, Y., Oshima, K., & Tanabiki, M. (2013). Multiple players tracking and identification using group detection and player number recognition in sports video. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society (pp. 2442-2446). Article 6699514 (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2013.6699514

Multiple players tracking and identification using group detection and player number recognition in sports video. / Yamamoto, Taiki; Kataoka, Hirokatsu; Hayashi, Masaki et al.
Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. 2013. p. 2442-2446 6699514 (IECON Proceedings (Industrial Electronics Conference)).

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

Yamamoto, T, Kataoka, H, Hayashi, M, Aoki, Y, Oshima, K & Tanabiki, M 2013, Multiple players tracking and identification using group detection and player number recognition in sports video. in Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society., 6699514, IECON Proceedings (Industrial Electronics Conference), pp. 2442-2446, 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, Austria, 13/11/10. https://doi.org/10.1109/IECON.2013.6699514

Yamamoto T, Kataoka H, Hayashi M, Aoki Y, Oshima K, Tanabiki M. Multiple players tracking and identification using group detection and player number recognition in sports video. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. 2013. p. 2442-2446. 6699514. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2013.6699514

@inproceedings{a703480e3ec24da2af70c9cab1992cd0,

title = "Multiple players tracking and identification using group detection and player number recognition in sports video",

abstract = "We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players due to frequent occlusions, quick motion of players and camera, and camera position. We propose tracking method that associates tracklets of a same player using results of player number recognition. To deal with frequent occlusions, we detect human region by level set method and then estimates if it is occluded group region or unoccluded individual one. Moreover, we associate tracklets using the results of player number recognition at each frame by keypoints-based matching with templates from multiple viewpoints, so that final tracklets include occluded region.",

keywords = "Affin Warp, SIFT, data association, level set method, multiple target tracking",

author = "Taiki Yamamoto and Hirokatsu Kataoka and Masaki Hayashi and Yoshimitsu Aoki and Kyoko Oshima and Masamoto Tanabiki",

year = "2013",

month = dec,

day = "1",

doi = "10.1109/IECON.2013.6699514",

language = "English",

isbn = "9781479902248",

series = "IECON Proceedings (Industrial Electronics Conference)",

pages = "2442--2446",

booktitle = "Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society",

note = "39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 ; Conference date: 10-11-2013 Through 14-11-2013",

}

TY - GEN

T1 - Multiple players tracking and identification using group detection and player number recognition in sports video

AU - Yamamoto, Taiki

AU - Kataoka, Hirokatsu

AU - Hayashi, Masaki

AU - Aoki, Yoshimitsu

AU - Oshima, Kyoko

AU - Tanabiki, Masamoto

PY - 2013/12/1

Y1 - 2013/12/1

N2 - We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players due to frequent occlusions, quick motion of players and camera, and camera position. We propose tracking method that associates tracklets of a same player using results of player number recognition. To deal with frequent occlusions, we detect human region by level set method and then estimates if it is occluded group region or unoccluded individual one. Moreover, we associate tracklets using the results of player number recognition at each frame by keypoints-based matching with templates from multiple viewpoints, so that final tracklets include occluded region.

AB - We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players due to frequent occlusions, quick motion of players and camera, and camera position. We propose tracking method that associates tracklets of a same player using results of player number recognition. To deal with frequent occlusions, we detect human region by level set method and then estimates if it is occluded group region or unoccluded individual one. Moreover, we associate tracklets using the results of player number recognition at each frame by keypoints-based matching with templates from multiple viewpoints, so that final tracklets include occluded region.

KW - Affin Warp

KW - SIFT

KW - data association

KW - level set method

KW - multiple target tracking

UR - http://www.scopus.com/inward/record.url?scp=84893633394&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893633394&partnerID=8YFLogxK

U2 - 10.1109/IECON.2013.6699514

DO - 10.1109/IECON.2013.6699514

M3 - Conference contribution

AN - SCOPUS:84893633394

SN - 9781479902248

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 2442

EP - 2446

BT - Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

T2 - 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013

Y2 - 10 November 2013 through 14 November 2013

ER -

Multiple players tracking and identification using group detection and player number recognition in sports video

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this