DocumentCode :
2133233
Title :
Detection of playfield with shadow and its application to player tracking
Author :
Liu, Wanyu ; Guo, Maozu ; Wanyu Liu
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Playfield detection is a key technology for content analysis in sports video, on which many semantic clue mining methods rely. However, shadow produced by substantial illumination change causes the general detection method fail and degenerate the performance of the following processing based on it. This paper presents a method for detecting playfield, which can find shadow region under the guidance of the intrinsic image proposed by Finlayson. Firstly, this method automatically finds the dominant color; secondly, according to the dominant color and the intrinsic image, it determines the playfield colors. At last, we apply it to player tracking in soccer video. Experimental results show that the proposed method can handle the problem brought by shadow and improve the performance of the application based on it.
Keywords :
data mining; image colour analysis; object detection; object tracking; sport; video signal processing; content analysis; dominant color; intrinsic image; player tracking; playfield colors; playfield detection; semantic clue mining methods; shadow region; sports video; substantial illumination change; Calibration; Gaussian distribution; Histograms; Image color analysis; Image segmentation; Lighting; Reflectivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2011 IEEE International Workshop on
Conference_Location :
Santander
ISSN :
1551-2541
Print_ISBN :
978-1-4577-1621-8
Electronic_ISBN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2011.6064621
Filename :
6064621
Link To Document :
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