REAL WORLD OBJECT RECOGNITION WITH A NEURAL NETWORK

被引：0
|
作者：
SEABROOK, G
机构：
来源：
BT TECHNOLOGY JOURNAL | 1992年 / 10卷 / 03期
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D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes the development of algorithms for the detection, extraction and classification of objects in real world scenes captured by a video camera. The novel part of the work was the application of neural networks to perform the object classification. The chosen approach involved applying binary images (silhouettes) directly to one net, whilst classifying according to an object's area and aspect ratio with another net - two alternative methods for combining these classifications are presented.
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页码：16 / 19
页数：4
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