Abstract
Recently, counting the number of people for crowd scenes is a hot topic because of its widespread applications (e.g. video surveillance, public security). The stampede incidents frequently occur in large-scale activities at home and abroad, which have caused a lot of casualties. For example, in the Shanghai Bund stampede incident in 2015, it has reached the level of major casualties prescribed by China. Therefore, the research on the population counting problem is getting hotter and hotter. If the population density of the current scene is accurately estimated and the corresponding security measures are arranged, the occurrence of such events can be effectively reduced or avoided. For this reason, this paper reviews the history of the development of population counting in recent years and some models that are more classic and have better effects. We will also consider pros and cons of these approaches.
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Zeng, P., Tan, J. (2020). Overview of Crowd Counting. In: Lu, Y., Vincent, N., Yuen, P.C., Zheng, WS., Cheriet, F., Suen, C.Y. (eds) Pattern Recognition and Artificial Intelligence. ICPRAI 2020. Lecture Notes in Computer Science(), vol 12068. Springer, Cham. https://doi.org/10.1007/978-3-030-59830-3_43
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