IJMTES – ONLINE TRACKING AND OFFLINE RECOGNITION USING SCALE INVARIANT FEATURE TRANSFORM

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.

KeywordsObject Recognition; Video Analysis; Visual Tracking

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