Two-dimensional thermal video analysis of offshore bird and bat flight
Abstract
Thermal infrared video can provide essential information about bird and bat presence and activity for risk assessment studies, but the analysis of recorded video can be time-consuming and may not extract all of the available information. Automated processing makes continuous monitoring over extended periods of time feasible, and maximizes the information provided by video. This is especially important for collecting data in remote locations that are difficult for human observers to access, such as proposed offshore wind turbine sites. We present guidelines for selecting an appropriate thermal camera based on environmental conditions and the physical characteristics of the target animals. We developed new video image processing algorithms that automate the extraction of bird and bat flight tracks from thermal video, and that characterize the extracted tracks to support animal identification and behavior inference. The algorithms use a video peak store process followed by background masking and perceptual grouping to extract flight tracks. The extracted tracks are automatically quantified in terms that could then be used to infer animal type and possibly behavior. The developed automated processing generates results that are reproducible and verifiable, and reduces the total amount of video data that must be retained and reviewed by human experts.more »
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- OSTI Identifier:
- 1254363
- Alternate Identifier(s):
- OSTI ID: 1226411
- Report Number(s):
- PNNL-SA-109185
Journal ID: ISSN 1574-9541; S1574954115001478; PII: S1574954115001478
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Published Article
- Journal Name:
- Ecological Informatics
- Additional Journal Information:
- Journal Name: Ecological Informatics Journal Volume: 30 Journal Issue: C; Journal ID: ISSN 1574-9541
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; thermal imaging; biological assessment; image processing; object tracking
Citation Formats
Matzner, Shari, Cullinan, Valerie I., and Duberstein, Corey A. Two-dimensional thermal video analysis of offshore bird and bat flight. Netherlands: N. p., 2015.
Web. doi:10.1016/j.ecoinf.2015.09.001.
Matzner, Shari, Cullinan, Valerie I., & Duberstein, Corey A. Two-dimensional thermal video analysis of offshore bird and bat flight. Netherlands. https://doi.org/10.1016/j.ecoinf.2015.09.001
Matzner, Shari, Cullinan, Valerie I., and Duberstein, Corey A. Sun .
"Two-dimensional thermal video analysis of offshore bird and bat flight". Netherlands. https://doi.org/10.1016/j.ecoinf.2015.09.001.
@article{osti_1254363,
title = {Two-dimensional thermal video analysis of offshore bird and bat flight},
author = {Matzner, Shari and Cullinan, Valerie I. and Duberstein, Corey A.},
abstractNote = {Thermal infrared video can provide essential information about bird and bat presence and activity for risk assessment studies, but the analysis of recorded video can be time-consuming and may not extract all of the available information. Automated processing makes continuous monitoring over extended periods of time feasible, and maximizes the information provided by video. This is especially important for collecting data in remote locations that are difficult for human observers to access, such as proposed offshore wind turbine sites. We present guidelines for selecting an appropriate thermal camera based on environmental conditions and the physical characteristics of the target animals. We developed new video image processing algorithms that automate the extraction of bird and bat flight tracks from thermal video, and that characterize the extracted tracks to support animal identification and behavior inference. The algorithms use a video peak store process followed by background masking and perceptual grouping to extract flight tracks. The extracted tracks are automatically quantified in terms that could then be used to infer animal type and possibly behavior. The developed automated processing generates results that are reproducible and verifiable, and reduces the total amount of video data that must be retained and reviewed by human experts. Finally, we suggest models for interpreting thermal imaging information.},
doi = {10.1016/j.ecoinf.2015.09.001},
journal = {Ecological Informatics},
number = C,
volume = 30,
place = {Netherlands},
year = {Sun Nov 01 00:00:00 EDT 2015},
month = {Sun Nov 01 00:00:00 EDT 2015}
}
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https://doi.org/10.1016/j.ecoinf.2015.09.001
https://doi.org/10.1016/j.ecoinf.2015.09.001
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Cited by: 9 works
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