E. Baccelli, A. Danilkina, S. Müller, A. Voisard, Matthias Wählisch
{"title":"Privacy-preserving crowd incident detection: a holistic experimental approach","authors":"E. Baccelli, A. Danilkina, S. Müller, A. Voisard, Matthias Wählisch","doi":"10.1145/2835596.2835603","DOIUrl":"https://doi.org/10.1145/2835596.2835603","url":null,"abstract":"Detecting dangerous situations is crucial for emergency management. Surveillance systems detect dangerous situations by analyzing crowd dynamics. This paper presents a holistic video-based approach for privacy-preserving crowd density estimation. Our experimental approach leverages distributed, on-board pre-processing, allowing privacy as well as the use of low-power, low-throughput wireless communications to interconnect cameras. We developed a multicamera grid-based people counting algorithm which provides the density per cell for an overall view on the monitored area. This view comes from a merger of infrared and Kinect camera data. We describe our approach using a layered model for data aggregation and abstraction together with a workflow model for the involved software components, focusing on their functionality. The power of our approach is illustrated through the real-world experiment that we carried out at the Schönefeld airport in the city of Berlin.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055138","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}
{"title":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","authors":"","doi":"10.1145/2835596","DOIUrl":"https://doi.org/10.1145/2835596","url":null,"abstract":"","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566849","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}
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