Journal Title : International Journal of Modern Trends in Engineering and Science
Author’s Name : A. Bahmidha Banu, Dr. V. Venkatesa kumar
Volume 01 Issue o5 Year 2014
ISSN no: 2348-3121
Page no: 211-215
Abstract—Object tracking, is a challenging problem. In order to meet real-time requirements, Low computational complexity is achieves using a unique feature statistical morphological skeleton, accuracy of localization, and noise robustness has been considered for both object tracking and recognition has been proposed. Previous work used only low level features for tracking framework. Tracking is performed by applying a proposed Scale Invariant Feature Transform to a set of observable quantities derived from the detected skeleton and other geometric characteristics of the moving object. Then unified approach of tracking and recognition can be established. High-level offline models corresponding to the recognized category are then adaptively selected and combined with the proposed online tracking models so as to achieve better tracking performance. Experimental result provides better result when compare with the existing work.
Keywords—Object Recognition; Video Analysis; Visual Tracking
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