Next Article in Journal
Taylor Collocation Method for Solving a Class of the First Order Nonlinear Differential Equations
Previous Article in Journal
Performance Improvement in Vslam Using Stabilized Feature Points
Article Menu

Article Versions

Export Article

Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
Open AccessArticle
Math. Comput. Appl. 2013, 18(3), 373-382;

Real-Time Multiple Object Tracking Using Virtual Shells

Faculty of Engineering and Natural Sciences, Sabanci University, 34956 Orhanlı-Tuzla, Istanbul, Turkey
Authors to whom correspondence should be addressed.
Published: 1 December 2013
PDF [996 KB, uploaded 10 March 2016]


This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras. The proposed method utilizes the concept of a virtual shell that encloses each moving object in the scene and simplifies analysis of object interactions. Object’s state transitions are handled by an event resolution analysis. Such a regional analysis boosts the tracking process. Finally, a pixel level evaluation is employed for all objects to establish successful pixel memberships. The proposed tracking algorithm is experimentally tested on some public databases and our own challenging aquarium setup that contains many different fish interactions.
Keywords: Tracking; Background Subtraction; Kalman Filter; Virtual Shell Tracking; Background Subtraction; Kalman Filter; Virtual Shell
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Kekec, T.; Unel, M.; Erdogan, H. Real-Time Multiple Object Tracking Using Virtual Shells. Math. Comput. Appl. 2013, 18, 373-382.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top