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基于快速傅里葉變換的局部分塊視覺跟蹤算法

侯志強(qiáng) 張浪 余旺盛 許婉君

侯志強(qiáng), 張浪, 余旺盛, 許婉君. 基于快速傅里葉變換的局部分塊視覺跟蹤算法[J]. 電子與信息學(xué)報(bào), 2015, 37(10): 2397-2404. doi: 10.11999/JEIT150183
引用本文: 侯志強(qiáng), 張浪, 余旺盛, 許婉君. 基于快速傅里葉變換的局部分塊視覺跟蹤算法[J]. 電子與信息學(xué)報(bào), 2015, 37(10): 2397-2404. doi: 10.11999/JEIT150183
Hou Zhi-qiang, Zhang Lang, Yu Wang-sheng, Xu Wan-jun. Local Patch Tracking Algorithm Based on Fast Fourier Transform[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2397-2404. doi: 10.11999/JEIT150183
Citation: Hou Zhi-qiang, Zhang Lang, Yu Wang-sheng, Xu Wan-jun. Local Patch Tracking Algorithm Based on Fast Fourier Transform[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2397-2404. doi: 10.11999/JEIT150183

基于快速傅里葉變換的局部分塊視覺跟蹤算法

doi: 10.11999/JEIT150183
基金項(xiàng)目: 

國家自然科學(xué)基金(61175029, 61473309)和陜西省自然科學(xué)基金(2011JM8015)

Local Patch Tracking Algorithm Based on Fast Fourier Transform

Funds: 

The National Natural Science Foundation of China (61175029, 61473309)

  • 摘要: 針對(duì)視覺跟蹤中目標(biāo)表觀變化、局部遮擋、背景干擾等問題,該文提出一種基于快速傅里葉變換的局部分塊視覺跟蹤算法。通過建立目標(biāo)分塊核嶺回歸模型并構(gòu)建循環(huán)結(jié)構(gòu)矩陣進(jìn)行分塊窮搜索來提高跟蹤精度,利用快速傅里葉變換將時(shí)域運(yùn)算變換到頻域運(yùn)算提高跟蹤效率。首先,在包含目標(biāo)的初始跟蹤區(qū)域建立目標(biāo)分塊核嶺回歸模型;然后,提出通過構(gòu)造循環(huán)結(jié)構(gòu)矩陣進(jìn)行分塊窮搜索,并構(gòu)建目標(biāo)分塊在相鄰幀位置關(guān)系模型;最后,利用位置關(guān)系模型精確估計(jì)目標(biāo)位置并進(jìn)行分塊模型更新。實(shí)驗(yàn)結(jié)果表明,該文算法不僅對(duì)目標(biāo)表觀變化、局部遮擋以及背景干擾等問題的適應(yīng)能力有所增強(qiáng),而且跟蹤實(shí)時(shí)性較好。
  • Yang H X, Shao L, Zheng F, et al. Recent advances and trends in visual tracking: a review[J]. Neurocomputing, 2011, 74(18): 3823-3831.
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    董文會(huì),常發(fā)亮,李天平.融合顏色直方圖及SIFT特征的自適應(yīng)分塊目標(biāo)跟蹤方法[J].電子與信息學(xué)報(bào),2013, 35(4): 770-776.
    Dong W H, Chang F L, and Li T P. Adaptive fragments-based target tracking method fusing color histogram and SIFT features[J]. Journal of Electronics Information Technology, 2013, 35(4): 770-776.
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    Yang F, Lu H C, and Chen Y W. Bag of feature tracking[C]. Proceedings of the International Conference on Pattern Recognition, Istanbul, Turkey, 2010: 153-156.
    Wang S, Lu H C, Yang F, et al. Superpixel tracking[C]. Proceedings of the IEEE International Conference on Computer Vision, Barcelona, Spain, 2011: 1323-1330.
    Yang F, Lu H C, and Yang M H. Robust superpixel tracking[J]. IEEE Transactions on Image Processing, 2014, 23(4): 1639-1651.
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出版歷程
  • 收稿日期:  2015-02-02
  • 修回日期:  2015-06-03
  • 刊出日期:  2015-10-19

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