Tiger Detection Using Faster R-CNN for Wildlife Conservation-Reference-Cited by-同舟云学术

Tiger Detection Using Faster R-CNN for Wildlife Conservation

Published:2021 Issue: Volume: Page:572-579
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Altobel Mohamad Ziad^ORCID,Sah Melike^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-64058-3_71

Reference16 articles.

1. World Wide Fund. https://www.worldwildlife.org/species/tiger

2. World tiger population. https://tigerpopulation.weebly.com/background.html

3. Thangarasu, R., Kaliappan, V.K., Surendran, R., Sellamuthu, K., Palanisamy, J.: Recognition of animal species on camera trap images using machine learning and deep learning models. Int. J. Sci. Technol. Res. 8(10), 2613–2622 (2019)

4. Chen, G., Han, T.X., He, Z., Kays, R., Forrester, T.: Deep convolutional neural network based species recognition for wild animal monitoring. In: 2014 IEEE International Conference on Image Processing (ICIP), pp. 858–862 (2014)

5. Norouzzadeh, M.S., Nguyen, A., Kosmala, M., Swanson, A., Packer, C., Clune, J.: Automatically identifying wild animals in camera trap images with deep learning. ArXiv, abs/1703.05830 (2017)

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