DocumentCode
2927454
Title
A Comprehensive Coarse-To-Fine Sports Video Analysis Framework to Infer 3D Parameters of Video Objects with Application to Tennis Video Sequences
Author
Luo, Ying ; Hwang, Jenq-Neng
Author_Institution
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Volume
2
fYear
2005
fDate
March 18-23, 2005
Firstpage
425
Lastpage
428
Keywords
Gaussian distribution; content-based retrieval; image classification; image retrieval; image segmentation; image sequences; learning (artificial intelligence); optimisation; pattern clustering; sport; video databases; 2D to 3D parameter inference; 3D parameters; Gaussian mixture modeling; clustering; coarse-to-fine sports video analysis; multidimensional optimization; tennis player body shape modeling; tennis video sequences; testing VO; training VO; video content analysis system; video object segmentation; video objects; video shot classification; Biological system modeling; Hidden Markov models; Humans; Information analysis; Information processing; Iterative closest point algorithm; Shape; Skeleton; Testing; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415432
Filename
1415432
Link To Document