EEPIS Repository

Penjejakan Objek Dengan NeuroFuzzy

Vidianto , Bagus and Ardila , Fernando and Hakkun , Rizky Yuniar and Setiawardhana , Setiawardhana (2010) Penjejakan Objek Dengan NeuroFuzzy. EEPIS Final Project.

PDF - Published Version
Download (210Kb) | Preview


    Currently the robot is a tool that can replace the role of human functions. In this final project will develop a computerized system connected to the PTZ camera (Pan Tilt Zoom) that can recognize the object and track this object. So the camera can detect and track object automatically. Tracking robot system is divided into several subsystems are image processing and control subsystem. In subsitem image processing the image data is retrieved online from the camera to recognize objects that will be traced. Recognition to objects using color segmentation to recognize color, and color that will be recognized that the red color. Image processing subsystem is useful to detect a red ball on the surrounding area. Then the subsystems will be used control NeuroFuzzy method which translates role in sintax C for move camera in tracing objects. This study shows optimization of tracking can be performed up to 63.9% from the specified error limits. It can be seen on tests such as color segmentation, speed, and precision tracking. Keyword: image Processing, trace, Color Segmentation, NeuroFuzzy

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Mrs Ashri Esy
    Date Deposited: 29 Jul 2011 15:04
    Last Modified: 29 Jul 2011 15:04

    Actions (login required)

    View Item