Video-Based Automated Pedestrians Counting Algorithms for Smart Cities
Willson Meli, Fred Lacy, Yasser Ismail · International Journal of Computing and Digital Systems · 2020
Smart cities possess several technologies in collecting pedestrian activity data, which may be used to manage city planning.A growing body of research exists on video processing based pedestrian counting methods, due to the development of new computer vision techniques.This research reviews different, vision-based methods for counting pedestrians and applies a specific counting method which is formed by a combination of You Only Look Once Version 3 (YOLOv3) and Simple Online Real-time Tracking (SORT) with a deep association metric.The results suggest that although clustering, as well as the direction and intensity of pedestrian traffic, achieves a minimal effect on the count, occlusion constitutes the main source of errors.Adequate training may serve to increase accuracy.