Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7452
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dc.contributor.authorBhatt, Dulari-
dc.contributor.authorPatel, Chirag-
dc.contributor.authorSharma, Priyanka-
dc.date.accessioned2017-02-28T06:13:04Z-
dc.date.available2017-02-28T06:13:04Z-
dc.date.issued2012-
dc.identifier.issn2319 – 7293-
dc.identifier.urihttp://hdl.handle.net/123456789/7452-
dc.descriptionGlobal Journal of Engineering, Design and Technology, Vol. 1 (2), 2012, Page No. 14 - 18.en_US
dc.description.abstractIntelligent farm surveillance system is for viewing the remote farm. In traditional video surveillance model the basic disadvantage is manual detection of the event. Many developed and developing country are using intelligent farm surveillance system for viewing the farm remotely.In this paper there is a brief survey of different object detection techniques. Further for identifying object as a bird there is bunch of techniques for that like template matching, skeleton extraction, contour based technique, edge based technique, etc. Here after survey, best methods suitable for bird detection is selected and then efficiency of proposed scheme is measured. Proposed system is having relatively low false positive rate and false negative rate.en_US
dc.publisherGlobal Institute for Research and Educationen_US
dc.relation.ispartofseriesITFCE011-9;-
dc.subjectGMMen_US
dc.subjectTemplate Matchingen_US
dc.subjectHaar Transformen_US
dc.subjectComputer Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFCE011en_US
dc.titleIntelligent Farm Surveillance System For Bird Detectionen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, CE

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