We present two opposite approaches which can be used for the passenger recognition in means of transport with and without entrance steps, or with split level flooring. As the precision of the counting is relevantly influenced by the precision of passenger recognition, we focus on the development of an appropriate recognition method. To guarantee the anonymity of passengers, we suggest orthogonal scanning of a scene. As the overall price is mainly given by prices of the used sensor and processing unit, we propose the utilization of a visible spectrum camera and data processing algorithms of low time complexity to ensure a low price of the final product. To allow mass utilization of passenger flow monitoring systems, their cost must be low. Exact numbers of passengers are important in areas such as public transport surveillance, passenger flow prediction, transport planning, and transport vehicle load monitoring. Counting of passengers entering and exiting means of transport is one of the basic functionalities of passenger flow monitoring systems.
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