Video Analysis of a Snooker Footage Based on a Kinematic Model

被引:0
|
作者
Gabdulkhakova, Aysylu [1 ]
Kropatsch, Walter G. [1 ]
机构
[1] Vienna Univ Technol, Pattern Recognit & Image Proc Grp, Vienna, Austria
来源
STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION | 2014年 / 8621卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Taking an inspiration from psychological studies of visual attention, the contribution of this paper lies in prediction of the critical points of the trajectory using the structure of a scene and physical motion model. On one side, we present our approach for video analysis that differs from traditional tracking techniques by predicting future states of the moving object rather than its next consecutive position using the physically-based motion functionality. On the other side, we propose to use the structure of the scene, which contains the information about the obstacles and space limits, for discovering the critical points of the trajectory. As a proof of concept we developed the use case application for analysing snooker footage.
引用
收藏
页码:223 / 232
页数:10
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