Real time implementation of Cubic B-Spline algorithm for Electro Optical Tracking System

Author

Sahu, Deepak ; Roy, Pranab ; Das, Biplab Kanti

Author_Institution

Optronics Centre, Integrated Test Range (DRDO), Chandipur, India

fYear

2013

fDate

10-11 Oct. 2013

Firstpage

1

Lastpage

5

Abstract

Velocity prediction is a crucial task for dynamic object tracking. Over the years many conventional methods have been used for this purpose but their performance remains unsatisfactory in case of jerky motion profile due to their high convergence time. In this paper we have used Cubic B-Spline for velocity prediction for a real time tracking system, which gives a relatively smoother prediction even for a bipolar jerky data. A sub sampled interpolation is used to give a finer resolution for real time tracking.

Keywords

electro-optical devices; image motion analysis; image resolution; object tracking; optical sensors; optical tracking; splines (mathematics); bipolar jerky data; cubic B-spline algorithm; dynamic object tracking; electrooptical tracking system; interpolation; real time tracking system; velocity prediction; Interpolation; Kalman filters; Polynomials; Prediction algorithms; Splines (mathematics); Target tracking; Cubic B-spline; EOTS; Precision Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013 International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4799-1082-3

Type

conf

DOI

10.1109/C2SPCA.2013.6749395

Filename

6749395