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DC Field | Value | Language |
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dc.contributor.author | Bhatt, Dulari | - |
dc.contributor.author | Patel, Chirag | - |
dc.contributor.author | Sharma, Priyanka | - |
dc.date.accessioned | 2017-02-28T06:13:04Z | - |
dc.date.available | 2017-02-28T06:13:04Z | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 2319 – 7293 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/7452 | - |
dc.description | Global Journal of Engineering, Design and Technology, Vol. 1 (2), 2012, Page No. 14 - 18. | en_US |
dc.description.abstract | Intelligent 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.publisher | Global Institute for Research and Education | en_US |
dc.relation.ispartofseries | ITFCE011-9; | - |
dc.subject | GMM | en_US |
dc.subject | Template Matching | en_US |
dc.subject | Haar Transform | en_US |
dc.subject | Computer Faculty Paper | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | ITFCE011 | en_US |
dc.title | Intelligent Farm Surveillance System For Bird Detection | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers, CE |
Files in This Item:
File | Description | Size | Format | |
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ITFCE011-9.pdf | ITFCE011-9 | 714.2 kB | Adobe PDF | ![]() View/Open |
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