OBJECT CLASSIFICATION METHODS FOR APPLICATION IN FPGA BASED VEHICLE VIDEO DETECTOR

被引：0
|
作者：
Pamula, Wieslaw [1 ]
机构：
[1] Silesian Tech Univ, Dept IT Syst Transport, Fac Transport, Krasinskiego St 8, PL-40019 Katowice, Poland
来源：
TRANSPORT PROBLEMS | 2009年 / 4卷 / 02期
关键词：
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
The paper presents a discussion of properties of object classification methods utilized in processing video streams from a camera. Methods based on feature extraction, model fitting and invariant determination are evaluated. Petri nets are used for modelling the processing flow. Data objects and transitions are defined which are suitable for efficient implementation in FPGA circuits. Processing characteristics and problems of the implementations are shown. An invariant based method is assessed as most suitable for application in a vehicle video detector.
引用
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页码：5 / 14
页数：10
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