An Adaptive Video Surveillance Architecture for Behavior Analysis

Simple item page
dc.contributor.authorZini, Lucaen_US
dc.contributor.authorNoceti, Nicolettaen_US
dc.contributor.authorOdone, Francescaen_US
dc.contributor.editorEnrico Puppo and Andrea Brogni and Leila De Florianien_US
dc.date.accessioned2014-01-27T16:34:09Z
dc.date.available2014-01-27T16:34:09Z
dc.date.issued2010en_US
dc.description.abstractAdaptivity to scene changes is a main requirement for video analysis. The interpretation of video streams can be dealt by triggering different techniques depending on the scene properties. We present a work-on-progress for the design of a video surveillance architecture where different tasks in the context of behavior analysis are addressed, depending on the crowd level. A coarse estimation of the scene occupancy allows us to focus on single person or groups, adopting appropriate strategies to model the dynamic information. This paper focuses in particular on the crowd estimation problem: we propose a solution to detect and localize groups of people, able to provide an estimate of the number of people in the scene.en_US
dc.description.seriesinformationEurographics Italian Chapter Conference 2010en_US
dc.identifier.isbn978-3-905673-80-7en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/057-064en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.8 [Image Processing and Computer Vision]: Scene analysis-Motion I.4.9 [Image Processing and Computer Vision]: Applicationsen_US
dc.titleAn Adaptive Video Surveillance Architecture for Behavior Analysisen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
057-064.pdf
Size:
1.69 MB
Format:
Adobe Portable Document Format
Download
Collections
Italian Chapter Conference 2010