CONF Carincotte_IEEE-ITSC_2008/IDIAP Understanding Metro Station Usage using Closed Circuit Television Cameras Analysis Carincotte, C. Naturel, Xavier Hick, M. Odobez, Jean-Marc Yao, Jian Bastide, A. Corbucci, B. EXTERNAL https://publications.idiap.ch/attachments/papers/2008/Carincotte_IEEE-ITSC_2008.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/naturel:rr08-38 Related documents 11th International IEEE Conference on Intelligent Transportation Systems (ITSC) Bejing 2008 October 2008 In this paper, we propose to show how video data available in standard CCTV transportation systems can represent a useful source of information for transportation infrastructure management, optimization and planning if adequately analyzed (e.g. to facilitate equipment usage understanding, to ease diagnostic and planning for system managers). More precisely, we present two algorithms allowing to estimate the number of people in a camera view and to measure the platform time-occupancy by trains. A statistical analysis of the results of each algorithm provide interesting insights regarding station usage. It is also shown that combining information from the algorithms in different views provide a finer understanding of the station usage. An end-user point of view confirms the interest of the proposed analysis. REPORT naturel:rr08-38/IDIAP understanding metro station usage using closed circuit television cameras analysis Carincotte, C. Hick, M. Naturel, Xavier Odobez, Jean-Marc Yao, Jian Bastide, A. Corbucci, B. EXTERNAL https://publications.idiap.ch/attachments/reports/2008/naturel-idiap-rr-08-38.pdf PUBLIC Idiap-RR-38-2008 2008 IDIAP In this paper, we propose to show how video data available in standard CCTV transportation systems can represent a useful source of information for transportation infrastructure management, optimization and planning if adequately analyzed (e.g. to facilitate equipment usage understanding, to ease diagnostic and planning for system managers). More precisely, we present two algorithms allowing to estimate the number of people in a camera view and to measure the platform time-occupancy by trains. A statistical analysis of the results of each algorithm provide interesting insights regarding station usage. It is also shown that combining information from the algorithms in different views provide a finer understanding of the station usage. An end-user point of view confirms the interest of the proposed analysis.