A Novel Method of Object Tracking Using Hough Transform
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 9, Issue 7
Abstract
A novel method of object tracking using Hough Transform.It has attracted a great deal of interest incomputer vision. We present an object tracking algorithm that includes moving object estimation and hough transform. The target is then modeled by extracting both spectral and spatial features. Our algorithm has been find the video pictures based on hough transform. Hough has been proposed an interesting and computationally efficient method for finding the lines in picture. We show how this method can be used for Circle detection.The tracking performance is analyzed by the calculation. In this study, we have demonstrated the capability of object tracking in a complex environment with the help of multispectral sensor imaginary. The objective of this application is the recognition of different shapes in an image. This task canbe subdivided into following procedures. First, an image is converted into gray scale. Fordetecting lines in images, we used histogram for the intensity related information and threshold.Then, an edge recognition procedure is implemented.We use Hough transform to accomplished on thethreshold edge map for linking the edges. This is the procedure to detect straight line. For circledetection we wrote a function called “houghcircle”.
Authors and Affiliations
Maheswari. M , Brilly Sangeetha. S
Keywords
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