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
fDate :
March 18-23, 2005
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415432
