Open AccessObject tracking based stereo vision
Author(s) -
Israa Nasir Alsalhi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1897/1/012023
Subject(s) - computer vision , artificial intelligence , computer science , tracking (education) , object (grammar) , segmentation , process (computing) , object detection , image segmentation , video tracking , background image , viola–jones object detection framework , background subtraction , noise (video) , image (mathematics) , pattern recognition (psychology) , pixel , face detection , psychology , pedagogy , facial recognition system , operating system
In this paper, we described a new method for moving objects (detection and tracking). The first step to determine the object tracking is the segmentation process through getting a background image and then comparing it with the foreground image. Separation of the background image from the foreground image is the result of this step to obtain an object. In further step, enhance the segmentation operation by using morphology to remove small noise. Finally, select the largest object, center and radius of the largest. Therefore, we can detect the object perfectly and then the tracking of all objects. In this process for finding out the location of the target, we observed less error in detection and was very accurate.