DocumentCode
1768316
Title
Birds/bats movement tracking with IR camera for wind farm applications
Author
Lai Wei ; Mirzaei, Golrokh ; Majid, Mohammad Wadood ; Jamali, Mohsin M. ; Ross, James ; Gorsevski, Peter V. ; Bingman, Verner P.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
fYear
2014
fDate
1-5 June 2014
Firstpage
341
Lastpage
344
Abstract
Nocturnally migratory birds and bats are at higher risk of colliding with wind turbines. It is important to gather scientific data in an area which have potential of wind farm development. An IR camera recording and its analysis can provide necessary information to wildlife biologists involve with interaction of birds/bats with wind turbines. An efficient IR video processing algorithm has been developed. The proposed algorithm consists of background and consecutive frame subtraction, frame selection, 3-D region labeling and breakpoint recovery. It is then used to process spring 2011 bird migration data that has been collected in Ottawa National Wildlife Refuge in Ohio. Results from this study will be useful for wildlife biologists to make intelligent decision for siting of wind turbines. It will also help policy makers to develop an appropriate public policy for wind farm development in an area with extensive avian activity.
Keywords
cameras; image processing; infrared detectors; infrared imaging; object tracking; video recording; wind power plants; wind turbines; 3D region labeling; IR camera recording; IR video processing algorithm; Ohio; Ottawa National Wildlife Refuge; bird-bats movement tracking; extensive avian activity; frame selection; frame subtraction; nocturnally migratory bat; nocturnally migratory bird; object tracking; spring 2011 bird migration data; wildlife biologists; wind farm application; wind turbine; Birds; Cameras; Labeling; Noise; Trajectory; Wildlife; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location
Melbourne VIC
Print_ISBN
978-1-4799-3431-7
Type
conf
DOI
10.1109/ISCAS.2014.6865135
Filename
6865135
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