Application and data mining of infra-red camera in the monitoring of species

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Abstract

Wildlife population is low and most of them are very sensitive to human disturbing, which makes traditional survey difficult. As known, infra-red camera technology has many advantages in wildlife study. However, with its wide application and increased data amount, researchers are facing some problems concerning infra-red camera monitoring and later data processing and analyzing. This paper describes in details three key problems on infra-red camera data management and use, such as lacking standardization, integration and normalization. The present paper also lists and analyzes eight aspects about photo data mining, based on researches carried out in the Qinling Mountains, Wolong Nature Reserve, etc. It involves individual recognition, temporal/spatial activity pattern, information-extracting of occasional species, behavior and reproduction, disease situation and interference by humans. If all this information can be used effectively, we hope to provide scientific support at some extent on wildlife and biodiversity conservation and management in future.

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Liu, X., Wu, P., He, X., & Zhao, X. (2018). Application and data mining of infra-red camera in the monitoring of species. Biodiversity Science, 26(8), 850–861. https://doi.org/10.17520/biods.2018053

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