33rd Applied Imagery Pattern Recognition Workshop (AIPR'04)最新文献

Assessing the performance of an automated video ground truthing application 评估自动视频地面真实性应用程序的性能

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.15

Scott K. Ralph, J. Irvine, M. R. Stevens, M. Snorrason, D. Gwilt

引用次数: 10

Illumination invariant faces 光照不变面

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.27

Rajkiran Gottumukkal, V. Asari

引用次数: 0

Advanced algorithms for autonomous hyperspectral change detection 自主高光谱变化检测的先进算法

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.10

A. Schaum, A. Stocker

{"title":"Advanced algorithms for autonomous hyperspectral change detection","authors":"A. Schaum, A. Stocker","doi":"10.1109/AIPR.2004.10","DOIUrl":"https://doi.org/10.1109/AIPR.2004.10","url":null,"abstract":"Persistent ISR (intelligence surveillance and reconnaissance) has proven its value as a tactic for national defense. This activity can collect, in particular, information necessary for executing an important concept of operations: wide-area autonomous change detection over long time intervals. Here we describe the remarkable potential of hyperspectral remote sensing systems for enabling such missions, using either visible or thermal infrared wavelengths. First we describe blind change detection, in which no target knowledge is assumed. Targets that have moved can nevertheless be distinguished from naturally occurring background radiometric changes through the use of multivariate statistics informed by simple physics. Detection relies on the ability of hyperspectral algorithms to predict certain conserved properties of background spectral patterns over long time intervals. We also describe a method of mitigating the most worrisome practical engineering difficulty in pixel-level change detection, image misregistration. This has led, in turn, to a method of estimating spectral signature evolution using multiple-scene statistics. Finally, we present a signature-based detection technique that fuses two discrimination mechanisms: use of some prior knowledge of target spectra, and the fact that a change has occurred.","PeriodicalId":120814,"journal":{"name":"33rd Applied Imagery Pattern Recognition Workshop (AIPR'04)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116987824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

An efficient selected feature set for the middle age Persian character recognition 中年波斯语字符识别的有效选择特征集

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.12

S. Alirezaee, H. Aghaeinia, M. Ahmadi, K. Faez

引用次数: 2

Unsupervised fuzzy-membership estimation of terms in semantic and syntactic lexical classes 语义和句法词汇类中术语的无监督模糊隶属度估计

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.48

David Portnoy, P. Bock

引用次数: 1

Texture discrimination and classification using pulse images 基于脉冲图像的纹理识别与分类

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.44

Guisong Wang, J. Kinser

引用次数: 2

Neurally-based algorithms for image processing 基于神经的图像处理算法

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.34

Mark Flynn, H. Abarbanel, Garrett T. Kenyon

引用次数: 1

Designing templates for cellular neural networks using particle swarm optimization 基于粒子群优化的细胞神经网络模板设计

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.21

H. Firpi, E. Goodman

引用次数: 10

Biologically inspired approaches to automated feature extraction and target recognition 生物学启发的自动特征提取和目标识别方法

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.17

G. Carpenter, S. Martens, E. Mingolla, Ogi J. Ogas, C. Gaddam

引用次数: 3

System capabilities, requirements and design of the GDL gunfire detection and location system GDL炮火探测和定位系统的系统能力、需求和设计

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI: 10.1109/AIPR.2004.42

J. Price, Carlos Maraviglia, William Seisler, E. Williams, M. Pauli

{"title":"System capabilities, requirements and design of the GDL gunfire detection and location system","authors":"J. Price, Carlos Maraviglia, William Seisler, E. Williams, M. Pauli","doi":"10.1109/AIPR.2004.42","DOIUrl":"https://doi.org/10.1109/AIPR.2004.42","url":null,"abstract":"Using image processing techniques, the Gunfire Detection and Location (GDL) system detects gunfire and aims a suite of imagers at the muzzle flash point of origin. This detection and location function is critical for force and perimeter defense in densely populated areas as well as difficult operating environments such as a remote desert. This paper defines requirements of the GDL project. The GDL system is the result of research into using real-time image processing of mid-wave infrared imagery to detect gunfire and pin point its origin. Varieties of modern imagers are made available over the spectrum to aid an operator in assessing a detected signal. By using optical and acoustical methods, a design effort was launched to yield five vehicle based platforms. The hardware and algorithm used to implement the five basic functions is discussed in this paper. Issues such as component reliability, thermal issues, camera sensitivity operated during the daytime and nighttime, and optical design and bore sighting had to be united into a system designed to operate in the desert and powered from a high mobility multi-purpose wheeled vehicle (HMMWV). The design, construction and testing was conducted in nine months. The project has yielded a system architecture that will be further tested and refined in the next phase of this project. Experiences with the development phase of GDL and future directions are described in this paper.","PeriodicalId":120814,"journal":{"name":"33rd Applied Imagery Pattern Recognition Workshop (AIPR'04)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129071902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4