32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.最新文献_第4页

Space weather research: a major application of imagery and data fusion 空间天气研究:图像和数据融合的主要应用

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284239

A. Poland, G. Withbroe, John C. Evans

引用次数: 0

Automated multisensor image registration 自动多传感器图像配准

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284257

K. Walli

引用次数: 9

Geo-spatial active visual surveillance on wireless networks 无线网络上的地理空间主动视觉监视

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284279

T. Boult

{"title":"Geo-spatial active visual surveillance on wireless networks","authors":"T. Boult","doi":"10.1109/AIPR.2003.1284279","DOIUrl":"https://doi.org/10.1109/AIPR.2003.1284279","url":null,"abstract":"This paper reviews some of the history of automated visual surveillance, from the second and third generation VMD days of the early 1990s, to the current state of the art. It discusses the inherent limitations that resulted in a nearly negligible \"increase\" in performance throughout the 1990s and still exist in commercially available systems. Then we review an approach that overcomes these limitations-active visual surveillance with geo-spatial rules. Active visual surveillance uses data from computer controlled Pan/Tilt/Zoom (PTZ) units combined with state of the art video detection and tracking to provide active assessment of potential targets in a cost effective manner. This active assessment allows an increase in the number of pixels on target and provides a secondary viewpoint for data fusion, while still allowing coverage of a very large surveillance area. This active approach and multi-sensor fusion, not a new concept, was developed as part of the DARPA Video Surveillance and Monitoring (VSAM) program in the late 90's. While we have continued to expand upon it since that time, there has been no commercial video surveillance, before Guardian Solutions, that provided these important abilities. The core ideas in this paper address limitations of the original VSAM designs, briefly introducing our enhancements including geo-spatial rules for wide area multi-sensor fusion, and key design issues to allow us to support wireless networks.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117047979","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: 11

Defect detection on patterned jacquard fabric 提花织物疵点检测

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284266

Henry Y. T. Ngan, G. Pang, S. Yung, M. K. Ng

引用次数: 36

The research of semantic content applied to image fusion 语义内容在图像融合中的应用研究

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284260

Yumei Miao, Yusong Miao

引用次数: 1

Dual band (MWIR/LWIR) hyperspectral imager 双波段(MWIR/LWIR)高光谱成像仪

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284252

M. Hinnrichs, N. Gupta, A. Goldberg

引用次数: 15

Quick response airborne deployment of VIPER muzzle flash detection and location system during DC sniper attacks 在直流狙击攻击中快速反应的VIPER枪口闪光探测和定位系统的机载部署

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284275

M. Pauli, M. C. Ertem, E. Heidhausen

{"title":"Quick response airborne deployment of VIPER muzzle flash detection and location system during DC sniper attacks","authors":"M. Pauli, M. C. Ertem, E. Heidhausen","doi":"10.1109/AIPR.2003.1284275","DOIUrl":"https://doi.org/10.1109/AIPR.2003.1284275","url":null,"abstract":"The VIPER infrared muzzle flash detection system was deployed from a helicopter and an airship in response to the Washington, DC area sniper attacks in October 2002. The system consist of a midwave IR camera, which was used to detect muzzle flash and cue a visible light camera on a gimbal to the detected event. The helicopter installation was done to prove that a manned airborne installation of the VIPER detection system would work. Within 36 hours of the request to deploy the system, it had been modified, approved by the FAA inspector and flown. Testing at the Ft. Meade rifle range showed that in the helicopter installation the system worked at least as well as the ground based system. Because of the limited endurance that a helicopter allows, the system was then installed aboard a Navy leased airship. It was flown at Elizabeth City, NC and was tested against live fire. These were the first flights of the airborne VIPER payload. It has since been flown numerous times on helicopters and tested against various guns, mortars, and artillery. The Naval Research Laboratory has demonstrated multiple payloads, each of which flew in manned helicopters and all controlled from a single ground station.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379993","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: 6

Access control system with high level security using fingerprints 使用指纹的高级安全门禁系统

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284278

Youn-Hee Gil, Dosung Ahn, S. Pan, Yongwha Chung

{"title":"Access control system with high level security using fingerprints","authors":"Youn-Hee Gil, Dosung Ahn, S. Pan, Yongwha Chung","doi":"10.1109/AIPR.2003.1284278","DOIUrl":"https://doi.org/10.1109/AIPR.2003.1284278","url":null,"abstract":"Biometric based applications guarantee for resolving numerous security hazards. As a method of preserving of privacy and the security of sensitive information, biometrics has been studied and used for the past few decades. Fingerprint is one of the most widely used biometrics. A number of fingerprint verification approaches have been proposed until now. However, fingerprint images acquired using current fingerprint input devices that have small field of view are from just very limited areas of whole fingertips. Therefore, essential information required to distinguish fingerprints could be missed, or extracted falsely. The limited and somewhat distorted information are detected from them, which might reduce the accuracy of fingerprint verification systems. In the systems that verify the identity of two fingerprints using fingerprint features, it is critical to extract the correct feature information. In order to deal with these problems, compensation of imperfect information can be performed using multiple impressions of enrollee's fingerprints. In this paper, additional three fingerprint images are used in enrollment phase of fingerprint verification system. Our experiments using FVC 2002 databases show that the enrollment using multiple impressions improves the performance of the whole fingerprint verification system.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132642505","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: 17

Children's understanding of imagery in picture books 儿童对绘本意象的理解

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284271

Lori M. Levin

引用次数: 1

Fusing face and ECG for personal identification 人脸与心电融合用于个人识别

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-15 DOI: 10.1109/AIPR.2003.1284276

S. Israel, W. T. Scruggs, W. Worek, J. Irvine

引用次数: 102