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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(4): 526-530 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.180

Annotation Supported Contour Based Object Tracking With Frame Based Error Analysis

Amarjot Singh, Devinder Kumar, Akash Choubey, and Ketan Bacchuwar Srikrishna Karanam
Abstract—Motion tracking is a vital component of study for a video sequence having wide applications in object tracking, coding and editing the videos and mosaicking [2]. Getting the actual motion for the videos existing in the real world though is a difficult task but plays a pivotal role in designing a model for any algorithm’s evaluation. We used an interactive computer vision system [1] which provides annotation tool for labeling and tracking the contours. Through the mutual work of user interaction and the computer vision system, the input effort is greatly reduced, simultaneously increasing the dependability of the whole system as compared to the solely computer based system. The ability of humans to easily segment and detect difference between different frames has been utilized using the human in loop methodology [1] by making use of a simple camera. The paper experiments with the capabilities of the system applied to indoor video sequence. This is the first paper which evaluates the capabilities of image annotation supported contour based object tracking with error analysis and correction, explaining the significance of human in the error incurred by the methodology. The paper studies the error incurred by the system with movement from one frame to another, supported by detailed simulations. The paper also focuses on the reasons responsible for the error incurred by the system mainly involving human intervention. Finally the paper presents the correction of the error followed by the in depth simulation indicating the in capabilities of the system on deforming objects. This system can be effectively used to analyze the error in motion tracking and further correcting the error leading to flawless tracking.

Index Terms—Contour; Tracking; Error; Annotation; Optical flow component.

The authors are with National Institute of Technology, Warangal, India (amarjotsingh@ieee.org).

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Cite:Amarjot Singh, Devinder Kumar, Akash Choubey, and Ketan Bacchuwar Srikrishna Karanam, "Annotation Supported Contour Based Object Tracking With Frame Based Error Analysis," International Journal of Machine Learning and Computing vol.2, no. 4, pp. 526-530, 2012.

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