Video Object Tracking using Extreme Point Localization

  IJPTT-book-cover
 
International Journal of P2P Network Trends and Technology (IJPTT)          
 
© 2012 by IJPTT Journal
Volume-2 Issue-3                           
Year of Publication : 2012
Authors : P. Balakumar, P.Vimala

MLA

P. Balakumar, P.Vimala"Video Object Tracking using Extreme Point Localization". International Journal of P2P Network Trends and Technology (IJPTT), V2(3):10-16  May - Jun 2012, ISSN:2249-2615, www.ijpttjournal.org. Published by Seventh Sense Research Group.

Abstract

Despite the recent progress in both pixel-domain and compressed-domain video object tracking, the need for a tracking framework with both reasonable accuracy and reasonable complexity still exists. It is a method for tracking moving objects in SPIHT compressed video sequences using Blob tracking model. Built upon such a model, the proposed method works in the compressed domain and uses only the motion vectors (MVs) and block coding modes from the compressed bit stream to perform tracking. At each frame, the decision of whether a particular block belongs to the object being tracked is made with the help of the model, which is updated from frame to frame in order to follow the changes in the object’s motion.

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Keywords

Compressed-domain video object tracking, SPIHT/AVC, Blob tracking.