3D-Plotting Algorithm for Insects using YOLOv5

In ecological research, accurately collecting spatiotemporal position data is a fundamental task for understanding the behavior and ecology of insects and other organisms. In recent years, advancements in computer vision techniques have reached a stage of maturity where they can support, and in some cases, replace manual observation. In this study, a simple and inexpensive method for monitoring insects in three dimensions (3D) was developed so that their behavior could be observed automatically in experimental environments. The main achievements of …

algorithm behavior cases computer computer vision cs.cv data ecology observation plotting research simple stage study support understanding vision yolov5