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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Boltes, M., Seyfried, A.: Collecting pedestrian trajectories. Neurocomputing 100, 127–133 (2013)
Carneiro, D., Castillo, J.C., Novais, P., Fernández-Caballero, A.: Multimodal behavioural analysis for non-invasive stress detection. Expert Systems with Applications 39(18), 13376–13389 (2012)
Castillo, J.C., Fernández-Caballero, A., Serrano-Cuerda, J., Sokolova, M.V.: Intelligent monitoring and activity interpretation framework - INT3-Horus ontological model. In: Advances in Knowledge-Based and Intelligent Information and Engineering Systems, pp. 980–989 (2012)
Costa, A., Castillo, J.C., Novais, P., Fernández-Caballero, A., Simoes, R.: Sensor-driven agenda for intelligent home care of the elderly. Expert Systems with Applications 39(15), 12192–12204 (2012)
Fernández-Caballero, A., Castillo, J.C., Rodríguez-Sánchez, J.M.: Human activity monitoring by local and global finite state machines. Expert Systems with Applications 39(8), 6982–6993 (2012)
Gascueña, J.M., Fernández-Caballero, A.: On the use of agent technology in intelligent, multisensory and distributed surveillance. The Knowledge Engineering Review 26(2), 191–208 (2011)
Gascueña, J.M., Fernández-Caballero, A., López, M.T., Delgado, A.E.: Knowledge modeling through computational agents: application to surveillance systems. Expert Systems 28(4), 306–323 (2011)
Gascueña, J.M., Navarro, E., Fernández-Caballero, A.: Model-driven engineering techniques for the development of multi-agent systems. Engineering Applications of Artificial Intelligence 25(1), 159–173 (2012)
KaewTraKulPong, P., Bowden, R.: An improved adaptive background mixture model for real-time tracking with shadow detection. In: Video Based Surveillance Systems: Computer Vision and Distributed Processing, pp. 1–5 (2001)
Kieran, D., Yan, W.: A framework for an event driven video surveillance system. Journal of Multimedia 6(1), 3–13 (2011)
Moreno-Garcia, J., Rodriguez-Benitez, L., Fernández-Caballero, A., López, M.T.: Video sequence motion tracking by fuzzification techniques. Applied Soft Computing 10(1), 318–331 (2010)
Pavón, J., Gómez-Sanz, J., Fernández-Caballero, A., Valencia-Jiménez, J.J.: Development of intelligent multi-sensor surveillance systems with agents. Robotics and Autonomous Systems 55(12), 892–903 (2007)
Rao, R., Taylor, C., Kumar, V.: Experiments in robot control from uncalibrated overhead imagery. In: Ang, M.H., Khatib, O. (eds.) Experimental Robotics IX. STAR, vol. 21, pp. 491–500. Springer, Heidelberg (2006)
Reenskaug, T.: Thing-model-view-editor an example from a planning system. XEROX PARC Technical Note (May 1979)
Rivas-Casado, A., Martinez-Tomás, R., Fernández-Caballero, A.: Multiagent system for knowledge-based event recognition and composition. Expert Systems 28(5), 488–501 (2012)
Sokolova, M.V., Castillo, J.C., Fernández-Caballero, A., Serrano-Cuerda, J.: Intelligent monitoring and activity interpretation framework - INT3-Horus general description. In: Advances in Knowledge-Based and Intelligent Information and Engineering Systems, pp. 970–979 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
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
eBook Packages: EngineeringEngineering (R0)