A. Lipton, John I. W. Clark, B. Thompson, Gary Myers, S. Titus, Zhong Zhang, P. L. Venetianer
{"title":"The Intelligent vision sensor: Turning video into information","authors":"A. Lipton, John I. W. Clark, B. Thompson, Gary Myers, S. Titus, Zhong Zhang, P. L. Venetianer","doi":"10.1109/AVSS.2007.4425287","DOIUrl":null,"url":null,"abstract":"Video analytics for security and surveillance applications is becoming commonplace. Advances in algorithm robustness and low-cost video platforms have allowed analytics to become an ingredient for many different devices ranging from cameras to encoders to routers to storage. As algorithms become more refined, the analytics paradigm shifts from a human-support model to an automation model. In this context, ObjectVideo, the leader in intelligent video, has created a new concept in video analytics devices - the intelligent vision sensor (IVS). This device consists of a video imager and lens combined with an onboard processor and communication channel. This low-cost device turns video imagery into actionable information that can be used in building automation and business intelligence applications. This paper describes the technical and market drivers that facilitate the creation and adoption of the IVS device as well as a specific case study involving an application for heating, ventilation, and air conditioning (HVAC) and lighting control.","PeriodicalId":371050,"journal":{"name":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2007.4425287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Video analytics for security and surveillance applications is becoming commonplace. Advances in algorithm robustness and low-cost video platforms have allowed analytics to become an ingredient for many different devices ranging from cameras to encoders to routers to storage. As algorithms become more refined, the analytics paradigm shifts from a human-support model to an automation model. In this context, ObjectVideo, the leader in intelligent video, has created a new concept in video analytics devices - the intelligent vision sensor (IVS). This device consists of a video imager and lens combined with an onboard processor and communication channel. This low-cost device turns video imagery into actionable information that can be used in building automation and business intelligence applications. This paper describes the technical and market drivers that facilitate the creation and adoption of the IVS device as well as a specific case study involving an application for heating, ventilation, and air conditioning (HVAC) and lighting control.