An image tracking system for PTZ cameras Using OpenCV

Authors:
Sang Gu Lee
Affiliations:
Department of Computer Engineering, Hannam University, Daejon, Korea
Venue:
CSECS'11/MECHANICS'11 Proceedings of the 10th WSEAS international conference on Circuits, Systems, Electronics, Control & Signal Processing, and Proceedings of the 7th WSEAS international conference on Applied and Theoretical Mechanics
Year:
2011

Citing 4
Cited 0

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Abstract

In this paper, we implement a real-time surveillance system for image object tracking using PTZ (Pan-Tilt-Zoom) cameras. For this, 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, OpenCV environment is used for image processing and C is used for accessing the PTZ protocol and RS-485 communication for controlling the position of PTZ camera 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.