scholarly journals PENERAPAN GRABBER PADA OPTICAL FLOW UNTUK MENGGERAKKAN CURSOR MOUSE MENGGUNAKAN BOLPOIN

Compiler ◽  
2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Anton Setiawan Honggowibowo ◽  
Sapto Aji Wibowo
Keyword(s):  
Image Processing ◽  
Optical Flow ◽  
Real Object ◽  
User Needs ◽  
Object Retrieval ◽  
Optical Flow Method ◽  
Object Movement ◽  
Technological Developments ◽  
Computer Vision Applications ◽  
Computer Development

Technological developments in the field of computers getting faster requires the ability of each person to be able to follow the progress of computer development. Computer vision applications is an application that allows the computer to have the ability to be able to capture and understand the data, such as image and make decisions based on the data from the real object movement that was in front of the webcam and then the data obtained is processed in accordance with user needs. Digital image of a real object is captured by a webcam can be done in various ways making objects. In this research, object retrieval by utilizing activity in this object is that caught on webcam pen is through the form and motion of objects. Once an object is detected then the object is to move the cursor on a computer. To be able to perform image processing, this application uses OpenCV components. Meanwhile, to be able to perform tracking of the cursor object using optical flow method. Cursor moves when the pen has a rectangular sides and parallel to the pen position frame of grabber.

scholarly journals Kontrol Mouse Menggunakan Webcam Berdasarkan Deteksi Warna

2019 ◽  
Vol 1 (1) ◽  
pp. 73-77
Author(s):  
Feri Fadli Aiyub ◽  
Munawir Munawir
Keyword(s):  
Image Processing ◽  
Optical Flow ◽  
Object Tracking ◽  
Rapid Development ◽  
Input Devices ◽  
Flow Method ◽  
Optical Flow Method ◽  
Computer Mouse ◽  
Virtual Mouse ◽  
Computer Interaction

The interaction technology in general is inseparable from the rapid development of Human-Computer Interaction technology or Human and Computer Interaction. Human and computer mouse interactions are called Virtual Mouse. Virtual mouse is designed for users to be able to interact directly with computers without using input devices such as conventional mice but using their hands as driving objects or using other media such as colors. In this research, testing is done on how to track an object that moves in order to do the mouse by using an intermediary in the form of an image processing-based webcam video that is taken in real-time using object tracking in the form of three color variables arranged based on RGB composition using the optical flow method in detecting its movement. Based on research that has been carried out as a whole the color object used as a pointer controller or mouse with the optical flow method can be detected properly in every condition.

Application of an Optical Flow Method to Inspiratory and Expiratory Lung MDCT to Assess Regional Air Trapping: A Feasibility Study

2007 ◽  
Vol 188 (3) ◽  
pp. W276-W280 ◽  
Author(s):  
Drew A. Torigian ◽  
Warren B. Gefter ◽  
John D. Affuso ◽  
Kiarash Emami ◽  
Lawrence Dougherty
Keyword(s):  
Optical Flow ◽  
Feasibility Study ◽  
Air Trapping ◽  
Flow Method ◽  
Optical Flow Method

Optical flow method for neutron radiography flow diagnostics

2021 ◽  
Vol 33 (10) ◽  
pp. 101702
Author(s):  
Tianshu Liu ◽  
Robert Zboray ◽  
Pavel Trtik ◽  
Lian-Ping Wang
Keyword(s):  
Optical Flow ◽  
Neutron Radiography ◽  
Flow Diagnostics ◽  
Flow Method ◽  
Optical Flow Method

scholarly journals OPTICAL FLOW APPLIED TO TIME-LAPSE IMAGE SERIES TO ESTIMATE GLACIER MOTION IN THE SOUTHERN PATAGONIA ICE FIELD

2016 ◽  
Vol XLI-B8 ◽  
pp. 503-509
Author(s):  
E. Lannutti ◽  
M. G. Lenzano ◽  
C. Toth ◽  
L. Lenzano ◽  
A. Rivera
Keyword(s):  
Optical Flow ◽  
Temporal Correlation ◽  
Time Lapse ◽  
Field Work ◽  
Mass Motion ◽  
Motion Data ◽  
Optical Flow Method ◽  
Southern Patagonia ◽  
Image Pairs ◽  
Glacier Motion

In this work, we assessed the feasibility of using optical flow to obtain the motion estimation of a glacier. In general, former investigations used to detect glacier changes involve solutions that require repeated observations which are many times based on extensive field work. Taking into account glaciers are usually located in geographically complex and hard to access areas, deploying time-lapse imaging sensors, optical flow may provide an efficient solution at good spatial and temporal resolution to describe mass motion. Several studies in computer vision and image processing community have used this method to detect large displacements. Therefore, we carried out a test of the proposed Large Displacement Optical Flow method at the Viedma Glacier, located at South Patagonia Icefield, Argentina. We collected monoscopic terrestrial time-lapse imagery, acquired by a calibrated camera at every 24 hour from April 2014 until April 2015. A filter based on temporal correlation and RGB color discretization between the images was applied to minimize errors related to changes in lighting, shadows, clouds and snow. This selection allowed discarding images that do not follow a sequence of similarity. Our results show a flow field in the direction of the glacier movement with acceleration in the terminus. We analyzed the errors between image pairs, and the matching generally appears to be adequate, although some areas show random gross errors related to the presence of changes in lighting. The proposed technique allowed the determination of glacier motion during one year, providing accurate and reliable motion data for subsequent analysis.

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