Recognition of articulated and occluded objects

被引：66

作者：

Jones, G ^{[1
]}

Bhanu, B ^{[1
]}

机构：

[1] Univ Calif Riverside, Ctr Res Intelligent Syst, Riverside, CA 92521 USA

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1999年 / 21卷 / 07期

关键词：

articulation invariance; automatic target recognition; azimuth variance; empirical performance modeling; geometric hashing; synthetic aperture radar images;

D O I：

10.1109/34.777371

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A model-based automatic target recognition (ATR) system is developed to recognize articulated and occluded objects in Synthetic Aperture Radar (SAR) images, based on invariant features of the objects. Characteristics of SAR target image scattering centers, azimuth variation, and articulation invariants are presented. The basic elements of the new recognition system are described and performance results are given for articulated, occluded and occluded articulated objects and they are related to the target articulation invariance and percent unoccluded.

引用

页码：603 / 613

页数：11

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