Computer vision supported pedestrian tracking: A demonstration on trail bridges in rural Rwanda
Fig 2
Flowchart describes the technologies and methods applied in this study.
Digital cameras were installed at 12 total bridges, recording short video clips or digital still images. 60-minute aggregations of manual counting was then compared to the timestamps of the digital files from the cameras, and computer-vision supported counting of both the video clips and the digital stills. Following this validation, analysis of bridge use trends including satellite-detected rainfall as a co-variant was conducted for 4 bridges over 2-14 weeks in fall 2019. Green blocks indicate manual counting, blue blocks indicate digital data collection, and orange blocks indicate statistical analyses. Human manual counting was collected at several bridge sites in rural Rwanda, and cross-validated between two manual counters.
