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