Abstract
In this paper, we implement a real-time surveillance monitoring and image object tracking system using PTZ (Pan-Tilt-Zoom) camera. For image object tracking, we use the mean shift tracking algorithm based on the color image distribution of detected object. Mean shift algorithm is efficient for real-time tracking because of its fast and stable performance. In this system, MatLab language is used for clustering moving object and accessing the PTZ protocol and RS-485 communication for controlling the position of PTZ cam-era in order to arrange the moving objects in the middle part of the monitor screen. This system can be applied to an effective and fast image surveillance system for continuous object tracking in a wider area.
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Lee, SG., Batkhishig, R. (2011). Implementation of a Real-Time Image Object Tracking System for PTZ Cameras. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Communications in Computer and Information Science, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24106-2_16
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DOI: https://doi.org/10.1007/978-3-642-24106-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24105-5
Online ISBN: 978-3-642-24106-2
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