University of Khartoum

Object Video Tracking using a Pan-Tilt-Zoom System

Object Video Tracking using a Pan-Tilt-Zoom System

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Title: Object Video Tracking using a Pan-Tilt-Zoom System
Author: Abdalhakam, Mohammed Abdalhakam Taha
Abstract: In the digital world, the application of computer vision effect is increasingly rising; one important field is the object tracking in video sequence, with its importance increased as it is used in many applications. The objective of this project is to design and implement an effective video tracking algorithm which demonstrates the location of the selected object between subsequent frames. A closed-circuit television (CCTV) camera is used for capturing video. It was mounted on a rotating system in order to keep the object of interest always at the center of the screen. Among different video tracking algorithms, three were selected and implemented: template matching, contour matching and optical flow; measures of accuracy and speed were taken for comparison. The code is written in Microsoft Visual Studio/C#, with the aid of EmgCV library which is a .NET wrapper for the open source OpenCV library written in C, a famous computer vision library. For the rotation system, a commercial Pan-Tilt-Zoom (PTZ) rotation platform is used, while horizontal pan and vertical tilt direction movements were controlled through a serial RS422 connection. The implemented system could successfully track rigid, discernible from background object with size up to 400×300 pixel for the used Phase Alternate Line (PAL) system of 720×576 pixel frame size. The tracking was stable even with the existence of rotation and scaling, with some faults when occlusion is present or when the target is moving with speed faster than that of the used rotation system of 30 °/s horizontal and 15 °/s vertical.
Description: 77page
URI: http://khartoumspace.uofk.edu/123456789/16049
Date: 2015-09-14


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