Tracking Method for Building Cooperative Behavior Models in Event Clean up Tasks
Kotaro Yamatogi, Koji Kinoshita, Masaharu Isshiki · 2024
The analysis of cooperative behavior consisting of multiple people is important when considering the efficient placement of people and optimization of work procedures. However, the analysis of cooperative behavior requires not only dynamic and complex analysis including many environmental factors and estimation of workers' intentions, but also an accurate understanding of human flow data. In this study, to construct a cooperative behavior model, we track objects, including working staff, in a video clip of clean-up tasks at an event. By evaluating the results, we will examine an object-tracking method suitable for constructing a cooperative behavior model.