Open AccessA Robust Algorithm for Real Time Tracking With Optical Flow
Author(s) -
C. Karthika Pragadeeswari,
G. Yamuna,
G. Yasmin Beham
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4419.119119
Subject(s) - optical flow , computer science , smoothing , computer vision , tracking (education) , object (grammar) , video tracking , artificial intelligence , displacement (psychology) , algorithm , image (mathematics) , real time computing , psychology , pedagogy , psychotherapist
Object tracking is a troublesome undertaking and significant extent in data processor perception and image handling community. Some of the applications are protection surveillance, traffic monitoring on roads, offense detection and medical imaging. In this paper a recent technique for tracking of moving object is intended. Optical flow information authorizes us to know the displacement and speed of objects personate in a scene. Apply optical flow to the image gives flow vectors of the points to distinguishing the moving aspects. Optical flow is accomplished by Lucas canade algorithm. This algorithm is superior to other algorithms. The outcomes reveals that the intend algorithm is efficient and accurate object tracking method. This paper depicts a smoothing algorithm to track the moving object of both single and multiple objects in real time. The main issue of high computational time is greatly reduced in this proposed work