Time Varying Moving Object Acceleration/ Deceleration Detection in Region of Interest Using Motion of Center of Gravity
E.M.C.L Ekanayake1, J.V Wijayakulasooriya2
1Mr. E.M.C.L Ekanayake, Postgraduate, Department of Electrical & Electronics Engineering, University of Peradeniya, Sri Lanka.
2Dr. J.V Wijayakulasooriya, Department of Electrical & Electronics Engineering, University of Peradeniya, Sri Lanka.
Manuscript received on October 20, 2013. | Revised Manuscript received on November 01, 2013. | Manuscript published on November 05, 2013. | PP: 79-82 | Volume-3 Issue-5, November 2013. | Retrieval Number: E1899113513/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The basic focus of this research is to design an improved algorithm upon the existing algorithm to detect and index moving objects on the road. The algorithm in use involves both the image subtraction approach and image dilation method. The image sequences acquired through a digital video during the day time was processed to analyze the characteristics of object movement in the Region of Interest (ROI). Basically this developed program can index moving objects and remove unwanted noisy shadows within the ROI. In addition it also represents how objects enter into the ROI and how they exit from ROI. Moreover it can characterize a particular object’s moving directions and its characteristics such as velocity, acceleration and deceleration. Those features could also be derived from analyses of the images.
Keywords: Image Processing, Video image analysis, image morphology, image dilation, image thresholding.