A new global motion estimation algorithm and its application to retrieval in sports events

Author

Kokaram, A. ; Delacourt, P.

Author_Institution

Electron. & Electr. Eng. Dept., Trinity Coll., Dublin, Ireland

fYear

2001

fDate

2001

Firstpage

251

Lastpage

256

Abstract

We propose a novel global motion estimation technique based on weighted gradient and displaced frame difference (DFD) associated with Wiener estimation. Then, we apply this technique to parse events of a high level of understanding in a cricket game. A user oriented analysis of the game then reveals a distinct connection between the global motion and specific events. By estimating global motion and analysing the temporal evolution of the estimated motion parameters, we present an effective process for the extraction of cricket events, leading to a success rate of 88.9%

Keywords

feature extraction; gradient methods; image sequences; information retrieval; motion estimation; parameter estimation; Wiener estimation; cricket game; displaced frame difference; event extraction; event parsing; global motion estimation algorithm; information retrieval; motion parameters estimation; sports events; understanding level; video sequences; weighted gradient; Cameras; Data mining; Design for disassembly; Educational institutions; Image sequences; Information retrieval; Mathematical model; Motion analysis; Motion estimation; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2001 IEEE Fourth Workshop on

Conference_Location

Cannes

Print_ISBN

0-7803-7025-2

Type

conf

DOI

10.1109/MMSP.2001.962742

Filename

962742