This study investigates the relationship between pedestrian behavior and the spatial usage of public space in Venice, based on the urban research methodology. By applying computer vision techniques, the study visualizes human activity in a public square. This study enables the application of visual data in geospatial analysis by distinguishing types of behavior in short-term image sequences, providing a new method for quantifying the use of public spaces. By integrating urban morphology, urban context, behavior type, and time pattern, the study enables a layered spatial interpretation of public environments.