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
Related Articles
- EP ID EP162723
- DOI -
- Views 111
- Downloads 0
Deriving the Probability with Machine Learning and Efficient Duplicate Detection in Hierarchical Objects
Duplicate detection is the major important task in the data mining, in order to find duplicate in the original data as well as data object. It exactly identifies whether the given data is duplicates or not. Real world du...
Application of Machine Learning Techniques in Aquaculture
In this paper we present applications of different machine learning algorithms in aquaculture. Machine learning algorithms learn models from historical data. In aquaculture historical data are obtained from farm practice...
Control Algorithm for Adaptive Front Light Systems
During the night driving, the reaction time of a human driver go into a compromise due to inadequate peripheral vision or lack of color and depth perception. The conventional headlamps of any automotive vehicle are insuf...
Study of TCP Packet Labeling to Alleviate Time-Out
Many applications (e.g., cluster based storage and Map Reduce) in modern data centers require a high fan-in, many- to-one type of data communication (known as TCP in cast), which could cause severe in cast congestion in...
A Puzzle Based Authentication Scheme for Cloud Computing
This article presents puzzle based authentication scheme in which cloud user registers and solves the puzzle, puzzle solving time and sequence of image block is stored and validated by local server and the cloud user get...