Computer Vision Based Analysis for Cursor Control Using Object Tracking and Color Detection

Camera (webcam) as one of computer equipment is getting more widely used and developed using image processing sensor cameras. In this research, made an application to control cursor movement using object tracking methods based colors by sensor camera. Object tracking is process to follow object position that you want. Objects will be tracking in this research is various objects. Basis of object tracking is segmentation process, that process is used separate objects with background or background only. To ease detecting object, will labeling process. Intent of labeling process to give limitations on things, so that existing objects in the image can be separated one from another. Object movement was interfacing with cursor movement. Results obtained from this research is object pixels that most effective to move cursor when pixel are detected 3200 pixels with error average that happens 0.35 at light intensity ±300 - 400 Lux.