A Low Cost Algorithm for Expected Goal Events Detection in Broadcast Soccer Video

Autor:	Amin Sadri, Mahmood Fathy, Masoomeh Zameni
Rok vydání:	2010
Předmět:	Scheme (programming language) Boundary detection Upsampling Computer Networks and Communications Computer science Feature (computer vision) Shot (filmmaking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Boundary (topology) computer Algorithm Software computer.programming_language
Zdroj:	International Journal of Digital Content Technology and its Applications. 4:118-125
ISSN:	2233-9310 1975-9339
DOI:	10.4156/jdcta.vol4.issue8.13
Popis:	Recently, mining information in sports video data, especially soccer video, has become an active research topic. In this paper, a new algorithm for detection of expected goal events in soccer video is proposed. The proposed algorithm is composed of two main steps. Firstly, video is segmented into its constituent shots and these shots are categorized into two groups, namely long shots and non-long shots. Secondly, long shots are examined to detect expected goal events. Our scheme uses the playfield boundary feature for shot boundary detection, shot classification, and expected goal events detection. Therefore, this feature is extracted only one time and the algorithm is speedy. It is noticeable that the proposed algorithm is robust to blurring and spatial downsampling. Moreover, experimental results on various broadcast soccer videos show that our algorithm can achieve high accuracy and especially high speed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::932c11386991292d920d656edd45e9db https://doi.org/10.4156/jdcta.vol4.issue8.13 Zobrazit plný text záznamu