Implementations of person detection in tracking and counting systems tend towards
processing of orthogonally captured images on edge computing devices. The ellipse-like
shape of heads in orthogonally captured images inspired us to predict head centroids to
determine positions of persons in images. We predict the centroids using a fully
convolutional network (FCN). We combine the FCN with simple image processing
operations to ensure fast inference of the detector. We experiment with the size of the FCN�…