Robert L. Beschta, 2003, Cottonwoods, elk, and wolves in the Lamar Valley of Yellowstone National Park, Ecological Applications, Vol. 13, No. 5, pp. 1295-1309

Ministry of Environment in Korea, http://stat.me.go.kr.

J.E. Jang, 2020, Genetic integrity and individual identification- based population size estimate of the endangered long- tailed goral, Naemorhedus caudatus from Seoraksan National Park in South Korea, based on a non-invasive genetic approach, Animal Cells and Systems, Vol. 24, No. 3, pp. 171-179

Korea National Park, https://www.knps.or.kr/

National institute of ecology, https://www.nie.re.kr/

B.K. Lee, 2011, Study on the habitat using of Common Goral (Naemorhedus caudatus) in Odaesan National Park, Proceedings of the Korean Society of Environment and Ecology Conference, Vol. 21, No. 2, pp. 208-211

R. Kays, 2009, Camera traps as sensor networks for monitoring animal communities, 2009 IEEE 34th Conference on Local Computer Networks, pp. 811-818

N. Banupriya, 2020, Animal detection using deep learning algorithm, J. Crit. Rev, Vol. 7, No. 1, pp. 434-439

A. Vecvanags, 2022, Ungulate Detection and Species Classification from Camera Trap Images Using RetinaNet and Faster R-CNN, Entropy, Vol. 24, No. 3, pp. 353

Stefan Schneider, W. Taylor Graham, Kremer Stefan, 2018, Deep learning object detection methods for ecological camera trap data, 2018 15th Conference on computer and robot vision (CRV). IEEE

M.S. Norouzzadeh, 2018, Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning, Proceedings of the National Academy of Sciences, Vol. 115, No. 25, pp. e5716-E5725

R. Girshick, 2014, Rich feature hierarchies for accurate object detection and semantic segmentation, Proceedings of the IEEE conference on computer vision and pattern recognition

J. Redmon, 2016, You only look once: Unified, real-time object detection, Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 779-788

A. Bochkovskiy, 2020, Yolov4: Optimal speed and accuracy of object detection, arXiv preprint arXiv:2004.10934