Abstract
An intelligent surveillance system can judge and handle a situation automatically within a wide monitoring area and unattended environment that has no certain human supervisor. In this paper, we propose a way to track persons through non-overlapping cameras that are connected over a network with a server. To track persons with a camera and send the tracking data to other cameras, the proposed system uses a human model that comprises a head, a torso, and legs. Also, with a trajectory model, the proposed system can predict the probability which an exited person from one camera is incoming to other cameras. The system is updated online during the lifetime of the system. These enable the proposed to keep tracking the recognized person in a wide area, to provide a guide for monitoring multiple cameras, and to adapt changes with time.
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References
Park, S., Aggarwa, J.K.: Segmentation and Tracking of Interacting Human Body Parts under Occlusion and Shadowing. In: Proc. of International workshop on motion and video computing, pp. 105–111 (2002)
Javed, O., Rasheed, Z., Alatas, O., Shah, M.: KNIGHTM: A Real-time Surveillance System for Multiple Overlapping and Non-overlapping Cameras. In: Proc. of ICME (2003)
Porikli, F.M., Divakaran, A.: Multi-camera Calibration, Object Tracking and Query Generation. In: Proc. of ICME, pp. 653–656 (2003)
Lee, K.-M.: Elliptical Clustering with Incremental Growth and Its Application to Skin Color Region Segmentation. Journal of KISS 31(9), 1161–1170 (2004)
Lee, K.M., Lee, Y.M.: Tracking Multi-person Robust to Illumination Changes and Occlusions. In: Proc. of International of Conference on Artificial Reality and Telexistence, pp. 429–432 (2004)
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, KM. (2005). Intelligent Tracking Persons Through Non-overlapping Cameras. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_76
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DOI: https://doi.org/10.1007/11538356_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
Online ISBN: 978-3-540-31907-8
eBook Packages: Computer ScienceComputer Science (R0)