• Electronics Optics & Control
  • Vol. 24, Issue 6, 43 (2017)
HU Xiao-wei and CHEN Juan
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2017.06.009 Cite this Article
    HU Xiao-wei, CHEN Juan. Kernel Correlation Filter Object Tracking Integrated with Color Features[J]. Electronics Optics & Control, 2017, 24(6): 43 Copy Citation Text show less

    Abstract

    Object feature representation is a hot topic in visual object tracking.Recently,kernel correlation filter has found wide application in object tracking with its high efficiency,while the simple pixel representation is not adaptable to tracking in complex scenes.A real-time tracking method integrated with color features is proposed here.Experimental results show that color information can improve the overall performance effectively,and the proposed algorithm can perform superiorly under the condition of different appearance variations,such as pose variation,illumination variation etc.The average tracking speed is 62.1 frames per second,which meets the real-time application requirement.
    HU Xiao-wei, CHEN Juan. Kernel Correlation Filter Object Tracking Integrated with Color Features[J]. Electronics Optics & Control, 2017, 24(6): 43
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