  This paper focuses on proposing a deep learning-based monkey swing counting
algorithm. Nowadays, there are very few papers on monkey detection, and even
fewer papers on monkey swing counting. This research focuses on this gap and
attempts to count the number of monkeys swinging their heads by deep learning.
This paper further extends the traditional target detection algorithm. By
analyzing the results of object detection, we localize the monkey's actions
over a period of time. This paper analyzes the task of counting monkey head
swings, and proposes the standard that accurately describes a monkey swinging
its head. Under the guidance of this standard, the head-swing count in 50
monkey movement videos in this paper has achieved 94%.
