An object tracking system for PTZ cameras using CAM shift
Sang‐Gu Lee, Ji Hoon Jo · International Conference on Computer Engineering and Applications · 2012
In this paper, we present a robust real-time surveillance system of image object tracking for Pan-Tilt-Zoom(PTZ) camera. For image object tracking, we use the CAM shift tracking algorithm based on the HSI color image distribution of detected moving objects. CAM shift algorithm is very efficient for real-time tracking because of its fast and robust performance. In this system, C++ and OpenCV environment are used for image processing and accessing the PTZ protocol and RS-485 communication for controlling the position of PTZ camera in order to arrange the moving object images 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.