DocumentCode :
1954474
Title :
Goalmouth Detection in Field-Ball Game Video Using Fuzzy Decision Tree
Author :
Bu, Jiang ; Lao, Song-Yang ; Bai, Liang ; Tollari, Sabrina ; Marsala, Christophe
Author_Institution :
Sch. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2009
fDate :
20-23 Sept. 2009
Firstpage :
917
Lastpage :
921
Abstract :
On one hand, goalmouth detection is a kind of high-level semantic concept detection methods in sports video, on the other hand, data mining for video processing that can benefit video analysis is a promising research frontier. In this paper, a robust method is proposed to detect the presence of goalmouth in field-ball game video based on fuzzy decision trees. Balance process is added in training procedure. The experiment result shows that our algorithm can improve the classification when comparing with the threshold based algorithm and the decision tree based algorithm. Fuzzy rules can also be easily deduced from the constructed tree to interpret the classification model.
Keywords :
data mining; decision trees; fuzzy set theory; video signal processing; balance process; classification model; data mining; field-ball game video; fuzzy decision tree; goalmouth detection; high-level semantic concept detection methods; video processing; Data mining; Decision trees; Event detection; Game theory; High definition video; Motion detection; Object detection; Robustness; Video compression; Video sharing; Balance process; Field-ball game video; Fuzzy decision tree; Goalmouth detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics, 2009. ICIG '09. Fifth International Conference on
Conference_Location :
Xi´an, Shanxi
Print_ISBN :
978-1-4244-5237-8
Type :
conf
DOI :
10.1109/ICIG.2009.103
Filename :
5437860
Link To Document :
بازگشت