발간년도 : [2014]
| 논문정보 |
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| 논문명(한글) |
[Vol.9, No.4] Object Scale Estimation in Mean-shift Tracking with Background Weighted Histogram |
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| 논문투고자 |
Man-Won Hwang, Min Hong, Yoo-Joo Choi |
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| 논문내용 |
In this paper, we proposed a robust scale estimation method for mean-shift tracking with background weighted local kernel. The shrinking problem of tracking kernel is frequently happened when the previous scale estimation methods based on color similarity between target and target candidate are applied in the mean-shift tracking with background weighted kernel. In order to solve the kernel shrinking problem, we defined a novel similarity evaluation criterion between target and target candidate based on weight average and found the most similar target candidate among several candidates with different kernel size. In order to validate robustness of the proposed scale estimation method, we compared the proposed method with the previous methods using challenging and self-made test data sequences. Experimental results show the proposed model have good performance to estimate tracked object scale. |
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