Indoor Overhead Video Camera for Efficient People Counting
DOI:
https://doi.org/10.11113/jt.v63.1948Keywords:
People counting system, overhead video camera setup, INT3-Horus framework, multi-agent systemAbstract
This article introduces a system for real-time people counting. People counting systems are challenging 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.
References
del Corte, A., Gutiérrez, O. and Gómez, J. 2012. New Location Techniques Based on Ray-tracing for Increasing Airport Safety in Apron and Stand Areas. Frontiers in Computer Education. 515–522.
Huck, R.C. 2011. A Building Block Approach to Port Security. PhD Dissertation, School of Electrical and Computer Engineering. The University of Oklahoma.
Svenonius, O. 2012. The Stockholm Security Project: Plural Policing, Security and Surveillance. Information Polity. 17: 35–43.
Casas, P., Mazel, J. and Owezarski, P. 2012. Knowledge-independent Traffic Monitoring: Unsupervised Detection of Network Attacks. IEEE Network. 26(1): 13–21.
Cucchiara, R., Grana, C., Prati, A., Tardini, G. and Vezzani, R. 2004. Using Computer Vision Techniques for Dangerous Situation Detection In Domotic Applications. Proceedings of the IEEE Workshop on Intelligent Distributed Surveillance Systems. 1–5.
Kieran, D. and Yan, W. 2011. A Framework for an Event Driven Video Surveillance System. Journal of Multimedia. 6(1): 3–13.
Geradts, Z. and Bijhold, J. 2000. Forensic Video Investigation. Multimedia Video Based Surveillance Systems, chapter 1. 3–12.
Gonzalez, R. C. and Woods, R. E. 2007. Digital Image Processing. 3rd Edition. Prentice-Hall.
Boltes, M. and Seyfried, A. 2013. Collecting Pedestrian Trajectories. Neurocomputing. 100: 127–133.
Moreno-Garcia, J., Rodriguez-Benitez, L., Fernández-Caballero, A. and López, M.T. 2010. Video Sequence Motion Tracking by Fuzzification Techniques. Applied Soft Computing. 10(1): 318–331.
Rao, R., Taylor, C. and Kumar, V. 2006. Experiments in Robot Control from Uncalibrated Overhead Imagery. Experimental Robotics IX. 491–500.
Serrano-Cuerda, J., Castillo, J. C., Sokolova, M. V. and Fernández-Caballero, A. 2013. Efficient People Counting from Indoor Overhead Video Camera. Trends in Practical Applications of Agents and Multiagent Systems. 129–137.
Gascueña, J. M. and Fernández-Caballero, A. 2011. On the Use of Agent Technology in Intelligent, Multisensory and Distributed Surveillance. The Knowledge Engineering Review. 26(2): 191–208.
Gascueña, J. M., Fernández-Caballero, A., López, M.T. and Delgado, A.E. 2011. Knowledge Modeling Through Computational Agents: Application to Surveillance Systems. Expert Systems. 28(4): 306–323.
Gascueña, J.M., Navarro, E. and Fernández-Caballero, A. 2012. Model-driven Engineering Techniques for the Development of Multi-Agent Systems. Engineering Applications of Artificial Intelligence. 25(1): 159–173.
Kieran, D. and Yan, W. 2011. A Framework for an Event Driven Video Surveillance System. Journal of Multimedia. 6(1): 3–13.
Castillo, J. C., Fernández-Caballero, A., Serrano-Cuerda, J. and Sokolova, M.V. 2012. Intelligent Monitoring and Activity Interpretation Framework - INT3-Horus Ontological Model. Advances in Knowledge-Based and Intelligent Information and Engineering Systems. 980–989.
Sokolova, M.V., Castillo, J. C., Fernández-Caballero, A. and Serrano-Cuerda, J. 2012. Intelligent Monitoring and Activity Interpretation Framework-INT3-Horus General Description. Advances in Knowledge-Based and Intelligent Information and Engineering Systems. 970–979.
Pavón, J., Gómez-Sanz, J., Fernández-Caballero, A. and Valencia-Jiménez, J.J. 2007. Development of Intelligent Multi-sensor Surveillance Systems with Agents. Robotics and Autonomous Systems. 55(12): 892–903.
Rivas-Casado, A., Martinez-Tomás, R. and Fernández-Caballero, A. 2012. Multiagent System for Knowledge-based Event Recognition and Composition. Expert Systems. 28(5): 488–501.
Fernández-Caballero, A., Castillo, J.C. and RodrÃguez-Sánchez, J.M. 2012. Human Activity Monitoring by Local and Global Finite State Machines. Expert Systems with Applications. 39(8): 6982–6993.
Carneiro, D., Castillo, J. C., Novais, P. and Fernández-Caballero, A. 2012. Multimodal Behavioural Analysis for Non-invasive Stress Detection. Expert Systems with Applications. 39(18): 13376–13389.
Costa, A., Castillo, J. C., Novais, P., Fernández-Caballero, A. and Simoes, R. 2012. Sensor-driven Agenda for Intelligent Home Care of the Elderly. Expert Systems with Applications. 39(15): 12192–12204.
Reenskaug, T. 1979. Thing-model-view-editor an Example from a Planning System. XEROX PARC Technical Note. May 1979.
Kass, M., Witkin, A. and Terzopoulos, D. 1988. Snakes: active Contour Models. International Journal of Computer Vision. 1(4): 321–331.
Mikolajczyk, K., Schmid, C. and Zisserman, A. 2004. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors. Proceedings of the Conference on Computer Vision. 1: 69–82.
Jung, C. R. and Scharcanski, J. 2005. Robust Watershed Segmentation Using Wavelets. Image and Vision Computing. 23(7): 661–669.
Shi, J. and Malik, J. 1997. Normalized Cuts and Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22: 888–905.
Yu, Z., Wong, H.-S. and Wen, G. 2011. A Modified Support Vector Machine and its Application to Image Segmentation. Image and Vision Computing. 29(1): 29–40.
Lloyd, S. P. 1982. Least Squares Quantization in PCM. IEEE Transactions on Information Theory. 28: 129–137.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
