Title :
Automatic extraction of specific scene from sports video
Author :
Oyama, Tadahiro ; Nakao, Daiki
Author_Institution :
Department of Electronic Engineering, Kobe City College of Technology, 8-3 Gakuen-Higashimachi Nishiku, Kobe City, Hyogo, Japan
fDate :
May 31 2015-June 3 2015
Abstract :
In recent years, ICT devices such as personal computer and video camera, tablet devices have been introduced actively in the field of ball sports. As one example, before the game is also carried out analysis of the opposing team using recorded video. In this paper, we consider the method to extract the desired scenes from the game video automatically for coaching support in the rugby sports. HOG and SVM were combined and verified whether human detection and scene extraction were possible from the actual game video. The experimental results, extraction of persons could be performed. However, it has been understood that the further verification is necessary for the scene extraction.
Keywords :
Accuracy; Brightness; Cameras; Feature extraction; Games; Histograms; Support vector machines; HOG; SVM; human detection; rugby; scene extraction; sports video;
Conference_Titel :
Control Conference (ASCC), 2015 10th Asian
Conference_Location :
Kota Kinabalu, Malaysia
DOI :
10.1109/ASCC.2015.7244727