Implementation of Basic Computer Vision Methods for Analyzing the Results of Biological Experiments

Abstract

The article discusses the video processing methods necessary for the automation of processing the results of the experiments “Morris Water Maze”, “Open Field”, “Elevated Cross-shaped Maze”, which are used to study the behavior of laboratory mice depending on various external factors, as well as an experiment with daily tracking Rhesus macaque activity. To process the received information, the C++ programming language is used including the OpenCV 3.2 and Qt 5.2 libraries. Later in the paper new applications are discussed to further the research based on findings described here. For further use monkey observation is proposed. The choice was made based on similarity between discussed and proposed methods for video processing and automation of experiments. For reviewed methods their advantages and disadvantages are included in the work. For each of experiments “Morris Water Maze”, “Open Field”, “Elevated Crossshaped Maze” there is corresponding image sequence for anyone unfamiliar with the topic.