Computer vision supported pedestrian tracking: A demonstration on trail bridges in rural Rwanda
Fig 7
Example camera frames and computer vision supported people counting at four bridge crossings in Rwanda.
Faces have been blurred to protect identities consistent with research protocols. In (a), We see four people are identified crossing the centerline to the left. In (b) we see the same site at night, where the infrared illumination is sufficient to capture individuals, including distinguishing those socializing versus crossing the bridge. In (c), observe the same site in the morning while condensation is apparent on the camera lens. The algorithm is still able to identify and count individuals. In (d), another site where people are identified and counted while animals are not. In (e) and (f) two other example bridges with varying camera locations and angles, and subjects.
