Crowd Counting on Images with Scale Variation and Isolated Clusters

Crowd counting is to estimate the number of objects in an image of unconstrained congested scenes. Designing a general crowd counting algorithm applicable to a wide range of crowd images is challenging, mainly due to the possibly large variation in object scales and the presence of many isolated small clusters.