Objects tracking in video: a object-oriented approach using Unified Modeling Language Online publication date: Mon, 13-Apr-2015
by Nilesh J. Uke; Ravindra C. Thool
International Journal of Computational Vision and Robotics (IJCVR), Vol. 5, No. 2, 2015
Abstract: So far, little research has been conducted into developing a computer vision application using object oriented approach. These applications contain numerical calculations and complex data structures. Mathematical models are generally used for such numeric calculation. Unified Modeling Language (UML) is a powerful modelling tool to represent any research problems visually. This paper demonstrates the usage of UML diagrams for effective solution to modelling object tracking in video. Object detection and tracking is an inevitable step in many computer vision applications. Important steps like shot segmentation, feature extraction, and object tracking are seemingly combined for detecting moving objects; is modelled using UML diagram. We analysed the system by use case, sequence, class, activity, and component diagram of UML. We briefly examine the issues in adopting UML for such complex problems of computer vision. Modelling such problems using UML helps application developer to visualise the system effectively.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook