Face Tracking Combining Active Contour Model and Color-Based Particle Filter 


Vol. 40,  No. 10, pp. 2090-2101, Oct.  2015


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  Abstract

We propose a robust tracking method that combines the merits of ACM(active contour model) and the color-based PF(particle filter), effectively. In the proposed method, PF and ACM track the color distribution and the contour of the target, respectively, and Decision part merges the estimate results from the two trackers to determine the position and scale of the target and to update the target model. By controlling the internal energy of ACM based on the estimate of the position and scale from PF tracker, we can prevent the snake pointers from falsely converging to the background clutters. We appled the proposed method to track the head of person in video and have conducted computer experiments to analyze the errors of the estimated position and scale.

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  Cite this article

[IEEE Style]

J. Kim and J. Jeong, "Face Tracking Combining Active Contour Model and Color-Based Particle Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 2090-2101, 2015. DOI: .

[ACM Style]

Jin-Yul Kim and Jae-Ki Jeong. 2015. Face Tracking Combining Active Contour Model and Color-Based Particle Filter. The Journal of Korean Institute of Communications and Information Sciences, 40, 10, (2015), 2090-2101. DOI: .

[KICS Style]

Jin-Yul Kim and Jae-Ki Jeong, "Face Tracking Combining Active Contour Model and Color-Based Particle Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 2090-2101, 10. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880