NDLI: Fast Pitch Detection Based on Improved FCM Algorithm and Hough Transform

Content Provider	IEEE Xplore Digital Library
Author	Ziwei Wang Yingyun Yang
Copyright Year	2013
Description	Author affiliation: Inf. Eng. Sch., Commun. Univ. of China, Beijing, China (Ziwei Wang; Yingyun Yang)
Abstract	Football videos always appeals to large audiences in recent years. The pitch plays the fundamental role in automatically analyzing the factors in the game. In this paper, a fast pitch detection method based on an improved FCM algorithm and Hough transform is proposed. Firstly, use WFCM clustering algorithm for image processing. Secondly, determine the boundary by Hough transform, and then fill the region within the boundaries to get the mask. Hough transform is rarely used before, since it is difficult to detect the boundary from the many lines obtained by Hough transform. There are two reasons why we choose this method: the first one is that Hough transform is mature and fast, secondly, a good segmentation result can be obtained after WFCM and corrosion processing which can reduce the number of the detected lines. Experimental results show that the proposed method is robust to various football videos.
Starting Page	297
Ending Page	301
File Size	861151
Page Count	5
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.65
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image segmentation Histograms WFCM Image color analysis pitch detection Clustering algorithms Transforms segmentation Hough transform Videos
Content Type	Text
Resource Type	Article

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