Abstract
This article introduces a system for real-time people counting. People counting is a challenging topic in the surveillance domain. The proposed system is built from INT3-Horus, a multi-agent based framework for intelligent monitoring and activity interpretation. The system uses an indoor overhead video camera that detects people moving freely in a hall or room. The people counting system is flexible in detecting individuals as well as groups. Counting is independent of the trajectories and possible occlusions of the humans present in the scene. The initial results offered by the system are very promising in terms of specificity, sensitivity and F-score.
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Serrano-Cuerda, J., Castillo, J.C., Sokolova, M.V., Fernández-Caballero, A. (2013). Efficient People Counting from Indoor Overhead Video Camera. In: Pérez, J., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent Systems and Computing, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-319-00563-8_16
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DOI: https://doi.org/10.1007/978-3-319-00563-8_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00562-1
Online ISBN: 978-3-319-00563-8
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