Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos

Z. Zivkovic; Ferdinand van der Heijden; M. Petkovic; Willem Jonker

Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos

Z. Zivkovic
, Ferdinand van der Heijden
, M. Petkovic
, Willem Jonker

Databases (Former)

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

232 Downloads (Pure)

Abstract

This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust player segmentation algorithm is developed for real video data. Further, we introduce a number of novel features to be extracted for our particular application. Different feature combinations are investigated in order to find the optimal one. Finally, recognition results for different classes of tennis strokes using automatic learning capability of Hidden Markov Models (HMMs) are presented. The experimental results demonstrate that our method is close to realizing statistics of tennis games automatically using ordinary TV broadcast videos.

Original language	Undefined
Title of host publication	Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001)
Editors	R.L. Langendijk, J.W.J. Heijnsdijk, A.D. Pimentel, M.H.F. Wilkinson
Place of Publication	Delft, the Netherlands
Publisher	Advanced School for Computing and Imaging (ASCI)
Pages	262-266
Number of pages	5
ISBN (Print)	90-803086-6-8
Publication status	Published - Jun 2001
Event	7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001 - Heijen, Netherlands Duration: 30 May 2001 → 1 Jun 2001 Conference number: 7

Publication series

Name
Publisher	Advanced School for Computing and Imaging (ASCI)

Conference

Conference	7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001
Abbreviated title	ASCI
Country/Territory	Netherlands
City	Heijen
Period	30/05/01 → 1/06/01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

EWI-7383
DB-MMR: MULTIMEDIA RETRIEVAL
IR-36135
METIS-200955

Access to Document

Zivkovic01image

http://eprints.eemcs.utwente.nl/secure2/7383/01/31.pdf

Cite this

Zivkovic, Z., van der Heijden, F., Petkovic, M., & Jonker, W. (2001). Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos. In R. L. Langendijk, J. W. J. Heijnsdijk, A. D. Pimentel, & M. H. F. Wilkinson (Eds.), Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001) (pp. 262-266). Advanced School for Computing and Imaging (ASCI). http://eprints.eemcs.utwente.nl/secure2/7383/01/31.pdf

Zivkovic, Z. ; van der Heijden, Ferdinand ; Petkovic, M. et al. / Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos. Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001). editor / R.L. Langendijk ; J.W.J. Heijnsdijk ; A.D. Pimentel ; M.H.F. Wilkinson. Delft, the Netherlands : Advanced School for Computing and Imaging (ASCI), 2001. pp. 262-266

@inproceedings{9d805da3c5a040429d8cfa4495916f3b,

title = "Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos",

abstract = "This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust player segmentation algorithm is developed for real video data. Further, we introduce a number of novel features to be extracted for our particular application. Different feature combinations are investigated in order to find the optimal one. Finally, recognition results for different classes of tennis strokes using automatic learning capability of Hidden Markov Models (HMMs) are presented. The experimental results demonstrate that our method is close to realizing statistics of tennis games automatically using ordinary TV broadcast videos.",

keywords = "EWI-7383, DB-MMR: MULTIMEDIA RETRIEVAL, IR-36135, METIS-200955",

author = "Z. Zivkovic and \{van der Heijden\}, Ferdinand and M. Petkovic and Willem Jonker",

note = "Imported from EWI/DB PMS [db-utwente:inpr:0000003221]; 7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001 ; Conference date: 30-05-2001 Through 01-06-2001",

year = "2001",

month = jun,

language = "Undefined",

isbn = "90-803086-6-8",

publisher = "Advanced School for Computing and Imaging (ASCI)",

pages = "262--266",

editor = "R.L. Langendijk and J.W.J. Heijnsdijk and A.D. Pimentel and M.H.F. Wilkinson",

booktitle = "Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001)",

}

Zivkovic, Z, van der Heijden, F, Petkovic, M & Jonker, W 2001, Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos. in RL Langendijk, JWJ Heijnsdijk, AD Pimentel & MHF Wilkinson (eds), Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001). Advanced School for Computing and Imaging (ASCI), Delft, the Netherlands, pp. 262-266, 7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001, Heijen, Netherlands, 30/05/01. <http://eprints.eemcs.utwente.nl/secure2/7383/01/31.pdf>

Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos. / Zivkovic, Z.; van der Heijden, Ferdinand; Petkovic, M. et al.
Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001). ed. / R.L. Langendijk; J.W.J. Heijnsdijk; A.D. Pimentel; M.H.F. Wilkinson. Delft, the Netherlands: Advanced School for Computing and Imaging (ASCI), 2001. p. 262-266.

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

TY - GEN

T1 - Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos

AU - Zivkovic, Z.

AU - van der Heijden, Ferdinand

AU - Petkovic, M.

AU - Jonker, Willem

N1 - Conference code: 7

PY - 2001/6

Y1 - 2001/6

N2 - This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust player segmentation algorithm is developed for real video data. Further, we introduce a number of novel features to be extracted for our particular application. Different feature combinations are investigated in order to find the optimal one. Finally, recognition results for different classes of tennis strokes using automatic learning capability of Hidden Markov Models (HMMs) are presented. The experimental results demonstrate that our method is close to realizing statistics of tennis games automatically using ordinary TV broadcast videos.

AB - This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust player segmentation algorithm is developed for real video data. Further, we introduce a number of novel features to be extracted for our particular application. Different feature combinations are investigated in order to find the optimal one. Finally, recognition results for different classes of tennis strokes using automatic learning capability of Hidden Markov Models (HMMs) are presented. The experimental results demonstrate that our method is close to realizing statistics of tennis games automatically using ordinary TV broadcast videos.

KW - EWI-7383

KW - DB-MMR: MULTIMEDIA RETRIEVAL

KW - IR-36135

KW - METIS-200955

M3 - Conference contribution

SN - 90-803086-6-8

SP - 262

EP - 266

BT - Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001)

A2 - Langendijk, R.L.

A2 - Heijnsdijk, J.W.J.

A2 - Pimentel, A.D.

A2 - Wilkinson, M.H.F.

PB - Advanced School for Computing and Imaging (ASCI)

CY - Delft, the Netherlands

T2 - 7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001

Y2 - 30 May 2001 through 1 June 2001

ER -

Zivkovic Z, van der Heijden F, Petkovic M, Jonker W. Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos. In Langendijk RL, Heijnsdijk JWJ, Pimentel AD, Wilkinson MHF, editors, Proceedings 7th Annual Conference on the Advanced School for Computing and Imaging (ASCI 2001). Delft, the Netherlands: Advanced School for Computing and Imaging (ASCI). 2001. p. 262-266