A comparative study of animal detection and classification algorithms, applications and challenges.

Animals suddenly obstructing roads and wild animals infiltrating human dwellings are involved in many of the world's worst road accidents. Aside from property damage, fatal deaths and permanent disabilities also occur. As a result, mitigation of such problems has become a prominent area of research, leading to the development of a wide range of detection techniques. This paper analyses ongoing research approaches to the prevention of animal-vehicle conflicts (AVC) and animal-human conflict (AHC). The primary goal of this study is to investigate the various image and video-based object detection approaches that are used to detect and solve image and video-based animal detection challenges. The various animal monitoring system, as well as some of the methods used to detect animals and collect their data sets, will be discussed in this paper. The challenges associated with animal identification are briefly discussed. [ABSTRACT FROM AUTHOR]