Title :
Automatic Classification System of Wushu Video Based on SVM
Author :
Yaqi, Hu ; Guangyu, Zhai
Author_Institution :
Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
Abstract :
This paper presents a semantic-based video analysis method and two steps of their classification in the wushu video: Firstly, used of the image frame difference to construct on the basis of background image, and used of threshold settings to determine the body information and background information, This can achieve the elimination of background and exercise the purpose of extracting the human body. The system which is completed by the two algorithms implement the classification of the wushu video. The experiment show that it is better to classify according to the characters of the wushu video by using this system.
Keywords :
pattern classification; support vector machines; video signal processing; SVM; automatic classification system; background information; body information; image frame difference; semantic-based video analysis; wushu video; Data mining; Humans; Image analysis; Image retrieval; Image sequences; Information analysis; Knowledge engineering; Pixel; Support vector machine classification; Support vector machines;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.438