Paper
4 January 2002 Framework for tracking and analysis of soccer video
Author Affiliations +
Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453120
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
In this paper, we present a complete framework for automatic analysis of soccer video by using domain specific information. In the proposed framework, following shot boundary detection, soccer shots are classified into 3 classes using the ratio of grass-colored pixels in a frame, and the size and number of soccer objects detected in a shot. These classes are long shots, in-field medium shots, and others, such as out-of-field of close-up shots. The long shots and in-field medium shots are further processed to analyze their semantic content. We observe that different low-level processing algorithms may be required to process different shot classes. For example, we introduce different tracking algorithms for the long shots and in- field medium shots. Furthermore, frame registration onto a reference field model is not usually applicable to in-field medium shots, because the field lines may not be visible. The proposed framework enables development of more effective low-level processing algorithms for high-level scene understanding, which perform nearly in real time. The results show the increased accuracy and efficiency of the proposed methods.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmet Ekin and A. Murat Tekalp "Framework for tracking and analysis of soccer video", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453120
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CITATIONS
Cited by 14 scholarly publications and 1 patent.
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KEYWORDS
Video

Detection and tracking algorithms

Algorithm development

RGB color model

Image segmentation

Motion models

Filtering (signal processing)

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