Adaptive rule-based recognition of events in video sequences

被引：0
|
作者：
Tzouvaras, V [1 ]
Tsechpenakis, G [1 ]
Stamou, G [1 ]
Kollias, S [1 ]
机构：
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Image Video & Multimedia Lab, GR-10682 Athens, Greece
来源：
2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 2, PROCEEDINGS | 2003年
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：
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is the symbolic nature of the representation of the knowledge concerning the events to be recognized. Moreover, this knowledge can be adapted with the aid of data taken from video sequences. The proposed system has been tested in soccer video sequences for detecting some complex predetermined (and represented in the form of rules) events.
引用
收藏
页码：607 / 610
页数：4
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