Open AccessVelocity Detection from a Motion Blur Image Using Radon Transformation
Author(s) -
Tantra Nath Jha
Publication year - 2018
Language(s) - English
Resource type - Journals
ISSN - 2091-0916
DOI - 10.3126/tuj.v32i2.24721
Subject(s) - motion blur , computer vision , artificial intelligence , shutter , transformation (genetics) , motion (physics) , computer science , motion field , radon , camera resectioning , image (mathematics) , motion estimation , radon transform , physics , optics , biochemistry , chemistry , quantum mechanics , gene
Motion blur is the result when the camera shutter remains open for an extended period of time and a relative motion between camera and object occurs. An approach for velocity detection based on motion blurred images has been implemented by the Radon transformation. The motion blur parameters are first estimated from the acquired images by using Radon transformation and then used to detect the speed of the moving object in the scene. Here established a link between the motion blur information of a 2D image and camera manufacturer’s data sheet and its calibration