By Topic

Visual tracking using the harmony search algorithm

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)
Fourie, J. ; Comput. Sci. & Software Eng., Univ. of Canterbury, Christchurch ; Mills, S. ; Green, R.

The harmony search algorithm is a meta-heuristic optimisation algorithm that mimics the improvisation process of musicians in a band or orchestra. A novel application of the harmony search algorithm is presented as it is applied to the visual tracking problem. A novel adaptation is made to the harmony search algorithm to improve performance under occlusion and is compared with a particle filter based implementation under the same conditions. Experimental results show that harmony search outperforms a particle filter implementation by maintaining a higher frame rate and producing a better estimate of the targetpsilas true position.

Published in:

Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference

Date of Conference:

26-28 Nov. 2008