Extracting Pedestrian Trajectories from Street Video as JSON

Motivation Why extract pedestrian trajectories from smartphone video footage? This approach serves multiple purposes in my research on urban social movements: GIS-ready data : JSON output integrates seamlessly with geographic information systems and mapping tools Cost-effective data collection : Eliminates the need for expensive GPS trackers or surveillance infrastructure Understanding pedestrian behavior : Reveals how people move and interact in urban environments Measuring protest reactions : Quantifies how standing demonstrations affect surrounding pedestrian flow This project emphasizes rapid deployment for protest monitoring. The entire setup requires only a smartphone and tripod, enabling quick response to emerging events. Introduction In urban planning and transportation studies, understanding pedestrian movement patterns is crucial for designing safer and more efficient public spaces. Previous methods like manual observation or GPS tracking have limitations in coverage and cost