Analysis of the Key Factors Influencing the Outdoor Animal Recognition and Counting Accuracy

Abstract

In this study is performed an analysis of the key factors, influencing accuracy of outdoor animal recognition and counting. Initially, the commonly used sensors, their area of applications and mounting places are overviewed. Next, are analyzed a number of studies, dealing with counting and recognition of livestock and wild animals and their goals, methods used and data sources are summarized. The main factors, influencing the accuracy of recognition and counting algorithms include the px/m ratio of the images, the animal and environment color, the behavior of animals, the presence of artificial objects etc. The results show that many of them are common between livestock and wild animals but there are also some differences.