SEARCH RESULT

Recognition and interpretation of human activities are very interesting and hot topics that are frequently studied in the field of computer vision. Especially with the advent and development of the Microsoft Kinect depth sensors, the expansion of the study fieldhas gained momentum in the positive direction. Thanks to RGBD cameras, which also provide depth information in addition to the RGB image, researchers benefit from many advantages in terms of privacy, accuracy and precision. In this study, automatic segmentation of repeated 3D human activity is proposed. A public dataset containing the repeated action sequences are recorded using the RGBD camera. The action sequence in this dataset includes similar and different action information. In order to identify and label each action in sequence, it is necessary to perform the segmentation process. To be able to perform a successful segmentation process, the data must be preprocessed to remove noise. For this purpose, a total variation based noise removal method is used. Human action recognition and detailed error analysis can be performed through the segments derived from the output of this work.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Rafet Durgut C. OZCAN Oğuz Findik

Computer-aided curve and surface design models are used to design surfaces that do not have a particular shape. Since these surfaces cannot be expressed by known mathematical functions, curve and surface modeling methods such as Bezier, B-Spline and Non-Uniform Rational B-Spline (NURBS) have been developed. In this study, an application is developed that allows the NURBS curve algorithm, which is used as a method in 3D modeling, to be computed using Field Programmable Gate Array (FPGA) with parallel processing capability and displayed on the LCD touch screen. The B-Spline basis function which NURBS based on are sampled mathematically. The parametric values used in the display of the NURBS curves and surfaces are presented on the LCD with user interaction. Parametric values such as control points, knot vector, and weight vector are separately sampled for curves and mathematical solutions are given. The NURBS curve for user-defined control points can be displayed in real time on the screen. In addition, an implementation of the NURBS algorithm in the Visual Studio platform was developed and obtained results were compared.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Yasin Öztürk C. OZCAN