Real-time multi-sensor based vehicle detection using MINACE filters

被引：0
作者：
Topiwala, Pankaj [1 ]
Nehemiah, Avinash [1 ]
机构：
[1] FastVDO LLC, 7150 Riverwood Dr, Columbia, MD 21046 USA
来源：
OPTICAL PATTERN RECOGNITION XVIII | 2007年 / 6574卷
关键词：
Minimum Noise and Correlation Energy (MINACE); vehicle detection; distortion invariant filter (DIF); multi-sensor;
D O I：
10.1117/12.719649
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A system to detect vehicles (cars, trucks etc) in electro-optic (EO) and infrared (IR) imagery is presented. We present the use of the minimum noise and correlation (MINACE) distortion invariant filter (DIF) for this problem. The selection of the MINACE filter parameter c is automated using a training and validation set. A new set of correlation plane post processing methods that improve detection accuracies and reduce false alarms are presented. The system is tested on real life imagery of traffic in parking lots and roads obtained using a multi-sensor EO/IR platform.
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页数：8
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