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基于二階空間直方圖的雙核跟蹤

張燦龍,  唐艷平,  李志欣,  馬海菲,  蔡冰

張燦龍, 唐艷平, 李志欣, 馬海菲, 蔡冰. 基于二階空間直方圖的雙核跟蹤[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1660-1666. doi: 10.11999/JEIT141321
引用本文: 張燦龍, 唐艷平, 李志欣, 馬海菲, 蔡冰. 基于二階空間直方圖的雙核跟蹤[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1660-1666. doi: 10.11999/JEIT141321
Zhang Can-long, Tang Yan-ping, Li Zhi-xin, Ma Hai-fei, Cai Bing. Dual-kernel Tracking Approach Based on Second-order Spatiogram[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1660-1666. doi: 10.11999/JEIT141321
Citation: Zhang Can-long, Tang Yan-ping, Li Zhi-xin, Ma Hai-fei, Cai Bing. Dual-kernel Tracking Approach Based on Second-order Spatiogram[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1660-1666. doi: 10.11999/JEIT141321

基于二階空間直方圖的雙核跟蹤

doi: 10.11999/JEIT141321
  • 1.

    (廣西師范大學(xué)計(jì)算機(jī)科學(xué)與信息工程學(xué)院 桂林 541004) ②(桂林電子科技大學(xué) 桂林 541004)

基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(61365009, 61165009)，廣西自然科學(xué)基金(2014GXNSFAA118368, 2012GXNSFAA053219)和廣西高校科技項(xiàng)目(2013YB027)

Dual-kernel Tracking Approach Based on Second-order Spatiogram

  • 2.

    (Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin 541004, China)

  • 摘要: 針對(duì)核跟蹤算法中的背景信息棄用和空間結(jié)構(gòu)丟失問(wèn)題，該文提出一種基于二階空間直方圖的雙核式目標(biāo)跟蹤算法。該算法以二階空間直方圖為目標(biāo)表示模型，以相似度和對(duì)比度為目標(biāo)判斷準(zhǔn)則，來(lái)建立全新的目標(biāo)函數(shù)；并依據(jù)多變量泰勒展開(kāi)和目標(biāo)函數(shù)最大化方法，推導(dǎo)出雙核式目標(biāo)位移公式；最后使用均值漂移程序遞歸地獲得了目標(biāo)的最優(yōu)位置。通過(guò)對(duì)各種條件下運(yùn)動(dòng)目標(biāo)的跟蹤驗(yàn)證了算法的有效性。
    Abstract: In order to avoid the loss of background and spatial information in mean shift tracker, a dual-kernel tracking approach based on the second-order spatiogram is proposed. In the method, the second-order spatiogram is employed to represent a target, the similarity and contrast are considered simultaneously when evaluating the target candidate, and they are adaptively integrated into a novel objective function. By performing multi-variable Taylor series expansion and maximization on the objective function, a dual-kernel target location-shift formula is induced. Finally, the optimal target location is gained recursively by applying the mean shift procedure. Experimental evaluations on several image sequences demonstrate the effectiveness of the proposed algorithm.
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出版歷程
  • 收稿日期:  2014-10-15
  • 修回日期:  2015-01-06
  • 刊出日期:  2015-07-19

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