Author(s): Mr. E.M.C.L Ekanayake | Dr. J.V Wijayakulasooriya
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 3;
Issue: 5;
Start page: 79;
Date: 2013;
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Keywords: Image Processing | Video image analysis | image morphology | image dilation | image thresholding.
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.
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 3;
Issue: 5;
Start page: 79;
Date: 2013;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Image Processing | Video image analysis | image morphology | image dilation | image thresholding.
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.
