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Abstract-With the rapid development of the computer and multimedia technology, the video processing technique is applied to the field of sports in order to analyze the sport video. For sports video analysis, how to segment the sports video image has become an important research topic. Nowadays, the algorithms for video image segmentation mainly include neural network, K-means and so on. However, the accuracy and speed of these algorithms for moving objects segmentation are not satisfied, and easily influenced by the irregular movement of the object and illumination, etc. In view of this, this paper proposes an algorithm for object segmentation in sports video image sequence, based on the spectral clustering. This algorithm simultaneously considers the pixel level visual feature and the edge information of the neighboring pixels to make the calculation of similarity is more intuitive and not affected by factors such as image texture. When clustering the image feature, the proposed method: (1) preprocesses video image sequence and extracts the image feature. (2)Using weight function to build and calculate the similar matrix between pixels. (2) Extract feature vector. (3) Perform clustering using spectral clustering algorithm to segment the sports video image. The experimental results indicate that the method proposed in this paper has the advantages, such as lower complexity, high computational effectiveness, low computational amount, and so on. It can get better extraction effects on video image.
Index Terms-Video Processing; For Sports Video Analysis; Sports Video
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I. INTRODUCTION
With the development of computer technology and multimedia technique, video analysis, as important research topic in the field of computer vision, has been widely used in image retrieval, object detection, image processing, and other fields. On the other hand, sports are usually transferred through video, therefore video processing technique then was applied to the sports. The image segmentation of athletes in the sports video has become the research focus in the digital image processing. At present, a lot of segmentation algorithms for motion objects are difficult to obtain good effects in sports video. The performance and speed of segmentation is not satisfied [1]. Therefore, the research on image segmentation method according to or approaching to the characteristics of sports objects has become the key issue.
The purpose of image segmentation...