By Topic

A region-based object tracking scheme using Adaboost-based feature selection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Fan-Tung Wei ; Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi ; Sheng-Ting Chou ; Chia-Wen Lin

This paper presents an object extraction system for video surveillance applications that require pixel-wise extraction accuracy. The proposed mechanism is composed of two trackers. The first tracker extract video objects by using Adaboost on pixel-based global seed features, it can provide more detailed segmentation of target. The second tracker applies bidirectional labeling on regions as well as uses Adaboost on region-based local seed features to refine the object masks obtained from the first tracker. The system is featured with an interactive tool which allows users to deal with serious object occlusion situations. A confidence measure is proposed to minimize the effort of human interactions.

Published in:

Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on

Date of Conference:

18-21 May 2008