Main Article Content
Detecting the animals is an imperative task in the field of computer vision. The computer vision plays a prominent role in detection of various wild animals. Methods for animal detection are helpful to know about the moving behaviour of animals so as to prevent animal intrusion which results in dangerous situations in forest border area. Crop damage, Injury and loss of life of humans and wildlife are some of the impacts of human animal conflict. So there is a need to develop a system which detects the wild animal in forest border without causing any effect to human beings .Deep learning has developed as an effective machine learning method and application of deep learning has shown performance in different areas like image classification, segmentation and object detection. This paper analyses various methods of animal detection in images. A detailed survey on the methods of animal detection are performed in this paper.
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