Computer vision supported pedestrian tracking: A demonstration on trail bridges in rural Rwanda
Table 1
Computer-vision supported hourly aggregated counting of pedestrian crossings using motion-activated short videos and photographic stills compared to manual in-person counting.
Error estimates for variance and bias indicate a lower error using the videos compared to stills.
