Real-time segmentation methods for monocular soccer videos-Reference-Cited by-同舟云学术

Real-time segmentation methods for monocular soccer videos

Published:2015-04 Issue:2 Volume:25 Page:327-337
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Hoernig M.,Herrmann M.,Radig B.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S105466181502011X.pdf

Reference23 articles.

1. A. Bigontina, M. Hermann, M. Hoernig, and B. Radig, “Human body part classification in monocular soccer images,” in Proc. 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding (Koblenz, 2014).

2. F. I. de Football Association et al., Laws of the Game (FIFA, 2013/14).

3. T. De Marco, M. Leo, and C. Distante, “Soccer ball detection with isophotoes curvature analysis,” in Image Analysis and Processing ICIAP-2013 (Springer, 2013), pp. 793–802.

4. M. Dimopoulos and T. Winkler, “Image warmnessa new perceptual feature for images and videos,” in Proc. 22nd IEEE Eur. Signal Processing Conf. (EUSIPCO) (Lisbon, 2014), pp. 1662–1666.

5. A. Ekin, A. M. Tekalp, and R. Mehrotra, “Automatic soccer video analysis and summarization,” IEEE Trans. Image Processing 12 (7), 796–807 (2003).

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