A Statistical Method for People Counting in Crowded Environments
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
People Counting System for Getting In/Out of a Bus Based on Video Processing
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 03
Real-time high density people counter using morphological tools
IEEE Transactions on Intelligent Transportation Systems
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This paper presents an approach to count the number of people that enters or leaves metro trains. This is a challenging scenario where usually people crowd around the train doors, and therefore it is not possible a direct approach that segments and counts individuals. The proposed technique is based on a statistical analysis of the flow obtained from the motion vectors at corner points. The method has been evaluated on metro sequences showing an average error below 5% in real operational conditions.