Abstract
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 %.
Cite
CITATION STYLE
Pedersen, J. B., Markussen, J. B., Philipsen, M. P., Jensen, M. B., & Moeslund, T. B. (2014). Counting the crowd at a carnival. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8888, pp. 706–715). Springer Verlag. https://doi.org/10.1007/978-3-319-14364-4_68
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