Donald Madden, T. Choe, Hongli Deng, Kiran Gunda, H. Gupta, N. Ramanathan, Z. Rasheed, E. Shayne, Asaad Hakeem
{"title":"移动ISR:面向远征作战人员的智能ISR管理和开发","authors":"Donald Madden, T. Choe, Hongli Deng, Kiran Gunda, H. Gupta, N. Ramanathan, Z. Rasheed, E. Shayne, Asaad Hakeem","doi":"10.1109/AIPR.2014.7041918","DOIUrl":null,"url":null,"abstract":"Modern warfighters are informed by an expanding variety of Intelligence, Surveillance and Reconnaissance (ISR) sources, but the timely exploitation of this data poses a significant challenge. ObjectVideo (\"OV\") presents a system, Mobile ISR to facilitate ISR knowledge discovery for expeditionary warfighters. The aim is to collect, manage, and deliver time-critical information when and where it is needed most. The Mobile ISR system consumes video, still imagery, and target metadata from airborne, ground-based, and hand-held sensors, and indexes that data based on content using state-of-the-art video analytics and user tagging. The data is stored in a geospatial database and disseminated to warfighters according to their mission context and current activity. The warfighters use an Android mobile application to view this data in the context of an interactive map or augmented reality display, and to capture their own imagery and video. A complex event processing engine enables powerful queries to the knowledge base. The system leverages the extended DoD Discovery Metadata Specification (DDMS) card format, with extensions to include representation of entities, activities, and relationships.","PeriodicalId":210982,"journal":{"name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mobile ISR: Intelligent ISR management and exploitation for the expeditionary warfighter\",\"authors\":\"Donald Madden, T. Choe, Hongli Deng, Kiran Gunda, H. Gupta, N. Ramanathan, Z. Rasheed, E. Shayne, Asaad Hakeem\",\"doi\":\"10.1109/AIPR.2014.7041918\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern warfighters are informed by an expanding variety of Intelligence, Surveillance and Reconnaissance (ISR) sources, but the timely exploitation of this data poses a significant challenge. ObjectVideo (\\\"OV\\\") presents a system, Mobile ISR to facilitate ISR knowledge discovery for expeditionary warfighters. The aim is to collect, manage, and deliver time-critical information when and where it is needed most. The Mobile ISR system consumes video, still imagery, and target metadata from airborne, ground-based, and hand-held sensors, and indexes that data based on content using state-of-the-art video analytics and user tagging. The data is stored in a geospatial database and disseminated to warfighters according to their mission context and current activity. The warfighters use an Android mobile application to view this data in the context of an interactive map or augmented reality display, and to capture their own imagery and video. A complex event processing engine enables powerful queries to the knowledge base. The system leverages the extended DoD Discovery Metadata Specification (DDMS) card format, with extensions to include representation of entities, activities, and relationships.\",\"PeriodicalId\":210982,\"journal\":{\"name\":\"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2014.7041918\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2014.7041918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile ISR: Intelligent ISR management and exploitation for the expeditionary warfighter
Modern warfighters are informed by an expanding variety of Intelligence, Surveillance and Reconnaissance (ISR) sources, but the timely exploitation of this data poses a significant challenge. ObjectVideo ("OV") presents a system, Mobile ISR to facilitate ISR knowledge discovery for expeditionary warfighters. The aim is to collect, manage, and deliver time-critical information when and where it is needed most. The Mobile ISR system consumes video, still imagery, and target metadata from airborne, ground-based, and hand-held sensors, and indexes that data based on content using state-of-the-art video analytics and user tagging. The data is stored in a geospatial database and disseminated to warfighters according to their mission context and current activity. The warfighters use an Android mobile application to view this data in the context of an interactive map or augmented reality display, and to capture their own imagery and video. A complex event processing engine enables powerful queries to the knowledge base. The system leverages the extended DoD Discovery Metadata Specification (DDMS) card format, with extensions to include representation of entities, activities, and relationships.