The focus of this paper is to count the number of people participating in a specific carnival, namely Aalborg Carnival in Denmark, which is believed to be the biggest in Northern Europe. A carnival poses significant challenges from a computer vision viewpoint due to high density, occlusion and non-human objects in the scene. To this end we apply a passive stereo vision approach to create a depth image where the heads of people are segmented, tracked, and counted in real-time. The results from the parade demonstrated that the system is able to count the people passing by with an uncertainty of 5.8 %.
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