Random bounce algorithm: real-time image processing for the detection of bats and birds Algorithm description with application examples from a laboratory flight tunnel and a field test at an onshore wind energy plant
Wind energy plants generate an impact on wildlife with significant fatality rates for various bat and bird species, e.g. due to a collision with the rotor blades. Monitoring approaches, such as vision-based systems, are needed to reduce their mortality by means of an optimized turbine control strate...
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| Vydané v: | Signal, image and video processing Ročník 10; číslo 8; s. 1449 - 1456 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Springer London
01.11.2016
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| ISSN: | 1863-1703, 1863-1711 |
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| Abstract | Wind energy plants generate an impact on wildlife with significant fatality rates for various bat and bird species, e.g. due to a collision with the rotor blades. Monitoring approaches, such as vision-based systems, are needed to reduce their mortality by means of an optimized turbine control strategy as soon as flying animals are detected. Since manual analysis of the video data is ineffective, automatic video processing with real-time capabilities is required. In this paper, we propose the random bounce algorithm (RBA) as a novel real-time image processing method for vision-based detection of bats and birds. The RBA is combined with object tracking in order to extract flight trajectories. Its performance is compared with connected components object detection. Results from a laboratory flight tunnel as well as from a field study at a 2 MW wind energy plant in Southern Germany will be presented and discussed. We have successfully detected and tracked objects both in laboratory experiments with many animals and in field experiments with individual animals at a frame rate of 10 fps. |
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| AbstractList | Wind energy plants generate an impact on wildlife with significant fatality rates for various bat and bird species, e.g. due to a collision with the rotor blades. Monitoring approaches, such as vision-based systems, are needed to reduce their mortality by means of an optimized turbine control strategy as soon as flying animals are detected. Since manual analysis of the video data is ineffective, automatic video processing with real-time capabilities is required. In this paper, we propose the random bounce algorithm (RBA) as a novel real-time image processing method for vision-based detection of bats and birds. The RBA is combined with object tracking in order to extract flight trajectories. Its performance is compared with connected components object detection. Results from a laboratory flight tunnel as well as from a field study at a 2 MW wind energy plant in Southern Germany will be presented and discussed. We have successfully detected and tracked objects both in laboratory experiments with many animals and in field experiments with individual animals at a frame rate of 10 fps. |
| Author | Nagovitsyn, Konstantin Krozer, Viktor Moll, Jochen Scholz, Nikolas Mälzer, Moritz |
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| Cites_doi | 10.3390/s16010097 10.1007/978-3-319-25220-9_11 10.1016/j.ecoinf.2015.03.004 10.1016/j.dsp.2013.07.003 10.1007/s11042-011-0902-2 10.1016/j.biosystemseng.2015.10.002 10.3382/ps.2014-04078 10.14257/ijsip.2015.8.3.15 10.1016/j.compag.2015.09.021 10.1186/s40317-015-0079-y 10.1186/1687-5281-2015-1 10.1049/ip-vis:20050052 10.1109/TPAMI.2011.239 10.1109/TIP.2010.2101613 10.1109/TIP.2008.919369 10.1016/j.patrec.2012.07.005 10.1088/1748-3182/4/1/015001 10.2193/2006-465 10.1002/jwmg.275 10.3390/s140813778 10.1006/cviu.2000.0897 10.1016/j.compag.2015.10.023 10.1007/s13280-015-0707-z 10.1111/j.1365-2907.1997.tb00448.x 10.1007/s00267-015-0501-5 10.1002/rse2.17 10.1109/EuCAP.2016.7481643 10.1007/978-3-319-16178-5_17 10.1109/IVS.2013.6629487 10.1109/GEMIC.2016.7461600 |
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| Keywords | Video object segmentation Camera-based detection of bats and birds Random bounce algorithm Wildlife monitoring Wind energy plants |
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| Subtitle | Algorithm description with application examples from a laboratory flight tunnel and a field test at an onshore wind energy plant |
| Title | Random bounce algorithm: real-time image processing for the detection of bats and birds |
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