Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks
Computer Vision and Image Understanding
Hi-index | 0.00 |
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.