Open Access Open Access  Restricted Access Subscription or Fee Access

Template Matching for Target Tracking from the Bayesian Probability Fusion of Two Different Matching Algorithms

Zhen Jia, Arjuna Balasuriya, Subhash Challa


In this paper a Bayesian probability hybrid based template matching method is proposed for
target tracking. Two different template matching methods are weighted by their matching probabilities and then combined through the Bayesian theory to give a f inal robust template updating and matching. Here the matching probability for each method is assigned with a Gaussian Probability Distribution Function (PDF). Then the template’s best matched region in the image is estimated with the maximum likelihood algorithm from the joint distribution of these two template matching PDFs. In this paper the f irst method is the commonly used Sum of the Squared Errors (SSE) template matching method. The second one is the Gaussian Mixture Models (GMMs) method, which is used to represent the template’s appearance features. With the fusion of these two template matching methods, the algorithm in this paper can well deal with the problems in template matching such as template drifting, shape rotation, appearance changes, occluded object tracking or environmental lighting condition changes.


Target Tracking, Template Matching and Updating, Sum of Squared Errors (SSE), Gaussian Mixture Models (GMMs), Gradient Descent, Expectation-Maximization (EM), Bayesian, RGB Color, Maximum Likelihood (ML), Probability Distribution Function (PDF), Fusion.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.