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Heartbeat of a nest: Using imagers as biological sensors

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Title: Heartbeat of a nest: Using imagers as biological sensors
Authors: Teresa Ko, Shaun Ahmadian, John Hicks, Mohammad Rahimi, Deborah Estrin, Usda Forest Service, Michael P. Hamilton, Blue Oak, Ranch Reserve
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://research.cens.ucla.edu/people/estrin/resources/journals/2010-aug-Ko.pdf.
Publication Year: 2010
Collection: CiteSeerX
Subject Terms: Categories and Subject Descriptors, C.0 [Computer Systems Organization, General, I.4.9 [Computer Methodologies, Image Processing and Computer Vision—Application General Terms, Image Network, Computer Vision, System Deployment, Sensor Network
Description: We present a scalable end-to-end system for vision-based monitoring of natural environments, and illustrate its use for the analysis of avian nesting cycles. Our system enables automated analysis of thousands of images, where manual processing would be infeasible. We automate the analysis of raw imaging data using statistics that are tailored to the task of interest. These “features ” are a representation to be fed to classifiers that exploit spatial and temporal consistencies. Our testbed can detect the presence or absence of a bird with an accuracy of 82%, count eggs with an accuracy of 84%, and detect the inception of the nesting stage within a day. Our results demonstrate the challenges and potential benefits of using imagers as biological sensors. An exploration of system performance under varying image resolution and frame rate suggest that an in situ adaptive vision system is technically feasible.
Document Type: Thesis
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.6362
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.6362
http://research.cens.ucla.edu/people/estrin/resources/journals/2010-aug-Ko.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.EF6912C4
Database: BASE
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  Data: Heartbeat of a nest: Using imagers as biological sensors
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  Data: <searchLink fieldCode="AR" term="%22Teresa+Ko%22">Teresa Ko</searchLink><br /><searchLink fieldCode="AR" term="%22Shaun+Ahmadian%22">Shaun Ahmadian</searchLink><br /><searchLink fieldCode="AR" term="%22John+Hicks%22">John Hicks</searchLink><br /><searchLink fieldCode="AR" term="%22Mohammad+Rahimi%22">Mohammad Rahimi</searchLink><br /><searchLink fieldCode="AR" term="%22Deborah+Estrin%22">Deborah Estrin</searchLink><br /><searchLink fieldCode="AR" term="%22Usda+Forest+Service%22">Usda Forest Service</searchLink><br /><searchLink fieldCode="AR" term="%22Michael+P%2E+Hamilton%22">Michael P. Hamilton</searchLink><br /><searchLink fieldCode="AR" term="%22Blue+Oak%22">Blue Oak</searchLink><br /><searchLink fieldCode="AR" term="%22Ranch+Reserve%22">Ranch Reserve</searchLink>
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  Data: The Pennsylvania State University CiteSeerX Archives
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  Data: <i>http://research.cens.ucla.edu/people/estrin/resources/journals/2010-aug-Ko.pdf</i>.
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  Data: We present a scalable end-to-end system for vision-based monitoring of natural environments, and illustrate its use for the analysis of avian nesting cycles. Our system enables automated analysis of thousands of images, where manual processing would be infeasible. We automate the analysis of raw imaging data using statistics that are tailored to the task of interest. These “features ” are a representation to be fed to classifiers that exploit spatial and temporal consistencies. Our testbed can detect the presence or absence of a bird with an accuracy of 82%, count eggs with an accuracy of 84%, and detect the inception of the nesting stage within a day. Our results demonstrate the challenges and potential benefits of using imagers as biological sensors. An exploration of system performance under varying image resolution and frame rate suggest that an in situ adaptive vision system is technically feasible.
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      – SubjectFull: System Deployment
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      – SubjectFull: Sensor Network
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      – TitleFull: Heartbeat of a nest: Using imagers as biological sensors
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