Object detection in order to determine locations for wildlife crossings
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The intensive construction of road infrastructure due to urbanization and industrialization around the world carries with it negative environmental impacts, primarily due to increased emissions of gases, but also due to the separation of natural habitats and ecosystems. In order to overcome this problem, without affecting the mobility of the population, it is necessary to allow wild animals to cross over or below the roads, i.e. to create wildlife crossings, which requires knowledge of the locations where the corridors of animal movements intersect with existing or planned roads. This paper analysis the establishment of a camera system and the application of a deep learning methodology for the automatic identification of animals by species and number, in order to determine locations for the construction of crossings for large wildlife. Also, the paper presents the possibility of using geographic information systems to analyze information obtained by monitoring built wildlife crossings.
Keywords:
deep learning / GIS / object detection / wildlife crossingsSource:
Zbornik radova - Geografski fakultet Univerziteta u Beogradu, 2022, 70, 23-36Publisher:
- Beograd : Univerzitet u Beogradu - Geografski fakultet
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200091 (University of Belgrade, Faculty of Geography) (RS-MESTD-inst-2020-200091)
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Geografski fakultetTY - JOUR AU - Vagić, Nemanja AU - Peulić, Aleksandar AU - Stojković, Sanja PY - 2022 UR - http://gery.gef.bg.ac.rs/handle/123456789/1648 AB - The intensive construction of road infrastructure due to urbanization and industrialization around the world carries with it negative environmental impacts, primarily due to increased emissions of gases, but also due to the separation of natural habitats and ecosystems. In order to overcome this problem, without affecting the mobility of the population, it is necessary to allow wild animals to cross over or below the roads, i.e. to create wildlife crossings, which requires knowledge of the locations where the corridors of animal movements intersect with existing or planned roads. This paper analysis the establishment of a camera system and the application of a deep learning methodology for the automatic identification of animals by species and number, in order to determine locations for the construction of crossings for large wildlife. Also, the paper presents the possibility of using geographic information systems to analyze information obtained by monitoring built wildlife crossings. PB - Beograd : Univerzitet u Beogradu - Geografski fakultet T2 - Zbornik radova - Geografski fakultet Univerziteta u Beogradu T1 - Object detection in order to determine locations for wildlife crossings IS - 70 SP - 23 EP - 36 DO - 10.5937/zrgfub2270023V ER -
@article{ author = "Vagić, Nemanja and Peulić, Aleksandar and Stojković, Sanja", year = "2022", abstract = "The intensive construction of road infrastructure due to urbanization and industrialization around the world carries with it negative environmental impacts, primarily due to increased emissions of gases, but also due to the separation of natural habitats and ecosystems. In order to overcome this problem, without affecting the mobility of the population, it is necessary to allow wild animals to cross over or below the roads, i.e. to create wildlife crossings, which requires knowledge of the locations where the corridors of animal movements intersect with existing or planned roads. This paper analysis the establishment of a camera system and the application of a deep learning methodology for the automatic identification of animals by species and number, in order to determine locations for the construction of crossings for large wildlife. Also, the paper presents the possibility of using geographic information systems to analyze information obtained by monitoring built wildlife crossings.", publisher = "Beograd : Univerzitet u Beogradu - Geografski fakultet", journal = "Zbornik radova - Geografski fakultet Univerziteta u Beogradu", title = "Object detection in order to determine locations for wildlife crossings", number = "70", pages = "23-36", doi = "10.5937/zrgfub2270023V" }
Vagić, N., Peulić, A.,& Stojković, S.. (2022). Object detection in order to determine locations for wildlife crossings. in Zbornik radova - Geografski fakultet Univerziteta u Beogradu Beograd : Univerzitet u Beogradu - Geografski fakultet.(70), 23-36. https://doi.org/10.5937/zrgfub2270023V
Vagić N, Peulić A, Stojković S. Object detection in order to determine locations for wildlife crossings. in Zbornik radova - Geografski fakultet Univerziteta u Beogradu. 2022;(70):23-36. doi:10.5937/zrgfub2270023V .
Vagić, Nemanja, Peulić, Aleksandar, Stojković, Sanja, "Object detection in order to determine locations for wildlife crossings" in Zbornik radova - Geografski fakultet Univerziteta u Beogradu, no. 70 (2022):23-36, https://doi.org/10.5937/zrgfub2270023V . .