Abstract
This article introduces a multi-camera system for real-time people counting. The proposed system is built from INT3-Horus, a framework for intelligent monitoring and activity interpretation. The system uses an indoor overhead video camera and a lateral view video camera to detect people moving freely in smart spaces. The segmentation is performed from both synchronized input videos. Then, information is fused to enhance the overall efficiency. The people counting system is flexible in detecting individuals as well as groups. Also, people counting is independent of the trajectories and possible occlusions of the humans present in the smart space. The initial results offered are very promising.
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Serrano-Cuerda, J., Sokolova, M.V., Fernández-Caballero, A., López, M.T., Castillo, J.C. (2013). Fusion of Overhead and Lateral View Video for Enhanced People Counting. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_23
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DOI: https://doi.org/10.1007/978-3-642-38622-0_23
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