Abstract
A system for tracking moving objects with a known GPS position using a set of PTZ cameras with limited areas of coverage is presented. The basic idea of the system and its possible applications are discussed. The proposed camera calibration technique is used to transform the GPS position to camera settings. The current position of the tracked object is predicted in order to compensate the transmission and processing delays. The distributed client-server system using mobile terminals and its application to tracking objects movement, with additional functionality such as showing the position of the objects on the map, is presented. The results of the tests performed in real-life conditions, as well as perspectives of a future development of the system, are discussed.
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References
Chen, T.P., Haussecker, H., et al.: Computer Vision Workload Analysis: Case Study of Video Surveillance Systems. Intel Technology Journal 9, 109–118 (2005)
Czyzewski, A., Dalka, P.: Moving Object Detection and Tracking for the Purpose of Multi-modal Surveillance System in Urban Areas. In: New Directions in Intell. Interactive Multim. (1st Int. Symp. on Intell. Interactive Multim. Syst. and Services), pp. 75–84. Springer, Heidelberg (2008)
Szwoch, G., Dalka, P., Czyzewski, A.: Objects classification based on their physical sizes for detection of events in camera images. In: Proc. NTAV/SPA 2008 Signal Processing and New Trends in Audio/Video, Poznan, Poland, pp. 15–20 (2008)
Cai, Q., Aggarwal, J.K.: Tracking human motion using multiple cameras. In: Proc. 13th Int. Conf. on Pattern Recognition, vol. 3, pp. 25–29 (1996)
Lee, L., Romano, R., Stein, G.: Monitoring activities from multiple video streams: establishing a common coordinate frame. Proc. IEEE Trans. Patt. Anal. and Mach. Intell. 22, 758–767 (2000)
Calderara, S., Vezzani, R., Prati, A., Cucchiara, R.: Entry edge of field of view for multi-camera tracking in distributed video surveillance. In: Proc. IEEE Conf. Advanced Video and Signal Based Surveillance, pp. 93–98 (2005)
Zhou, Q., Aggarwal, J.K.: Object tracking in an outdoor environment using fusion of features and cameras. Image and Vision Computing 24, 1244–1255 (2006)
Tyler, G., Blewitt, G.: Intelligent Positioning: GIS-GPS Unification. Wiley, Chichester (2006)
Avriel, M.: Nonlinear Programming: Analysis and Methods. Dover Publishing, New York (2003)
Saint-Andre, P., et al.: RFC 3920: Extensible Messaging and Presence Protocol (XMPP): Core (2004), http://www.ietf.org/rfc/rfc3920.txt (accessed January 12, 2009)
Saint-Andre, P., et al.: RFC 3921: Extensible Messaging and Presence Protocol (XMPP): Instant Messaging and Presence (2004), http://www.ietf.org/rfc/rfc3921.txt (accessed January 12, 2009)
XMPP Standards Foundation, XEP-0166: Jingle (2009), http://xmpp.org/extensions/xep-0166.html (accessed January 12, 2009)
XMPP Standards Foundation, XEP-0080: User Location (2009), http://xmpp.org/extensions/xep-0080.html (accessed January 12, 2009)
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Dalka, P., Ciarkowski, A., Szczuko, P., Szwoch, G., Czyżewski, A. (2009). Surveillance Camera Tracking of Geo positioned Objects. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_3
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DOI: https://doi.org/10.1007/978-3-642-02937-0_3
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