Statistical video analysis for crowds counting
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Multiple features fusion for crowd density estimation
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
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In this paper we present the results of a two-years research project on automatic people counting in public crowded environments. The aim of the proposed system is to estimate the number of people passing through a gate in a public area such as a metro or a railway station. The problem is particularly challenging due to both the presence of crowd which makes it difficult the use of previous systems based on detection of isolated passengers and to the high level of statistic accuracy requested by traffic monitoring applications (error rate less then 5%).