The Research of Mean-Shift UAV Tracking Algorithm by TWH and FB-Error Restriction
In: 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN), 2016-12-01
Online
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Zugriff:
In view of the phenomenon that the factors of occluded target and it's changed background lead to failure in the process of tracking, a MTF (Mean-shift by TWH and FBerror) tracking algorithm is proposed. Firstly, TargetWeighted Histogram (TWH) is introduced to describe target in Mean-shift tracking framework, i.e., using local-background of target to weaken inner-background features of all-region in order to make target features prominent in tracking process, secondly, FB-error restriction is introduced, the predicted results of target current position and the calculated results of mean-shift vector are combined together to estimate the final target location of time t by using weighted function about FBerror. The experimental results show that the proposed tracking algorithm has great breakthrough on tracking accuracy.
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The Research of Mean-Shift UAV Tracking Algorithm by TWH and FB-Error Restriction
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Autor/in / Beteiligte Person: | Zhang, Senyue ; Yibo, Li ; Zhang, Qi |
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Zeitschrift: | 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN), 2016-12-01 |
Veröffentlichung: | IEEE, 2016 |
Medientyp: | unknown |
DOI: | 10.1109/cicn.2016.109 |
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