• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram

Vol. 10, No.3, March 31, 2016
10.3837/tiis.2016.03.025, Full Text:

Abstract

This paper presents a target model update scheme for the mean-shift tracking with background weighted histogram. In the scheme, the target candidate histogram is corrected by considering the back-projection weight of each pixel in the kernel after the best target candidate in the current frame image is chosen. In each frame, the target model is updated by the weighted average of the current target model and the corrected target candidate. We compared our target model update scheme with the previous ones by applying several test sequences. The experimental results showed that the object tracking accuracy was greatly improved by using the proposed scheme.


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Cite this article

[IEEE Style]
Yong-Hyun Jang, Jung-Keun Suh, Ku-Jin Kim and Yoo-Joo Choi, "Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram," KSII Transactions on Internet and Information Systems, vol. 10, no. 3, pp. 1377-1389, 2016. DOI: 10.3837/tiis.2016.03.025

[ACM Style]
Jang, Y., Suh, J., Kim, K., and Choi, Y. 2016. Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram. KSII Transactions on Internet and Information Systems, 10, 3, (2016), 1377-1389. DOI: 10.3837/tiis.2016.03.025