Laser & Optoelectronics Progress, Volume. 56, Issue 19, 191501(2019)

Multi-Domain Convolutional Neural Network Tracking Algorithm Based on Reconstructed Feature Combination

Dawei Yang1,2, Xinfei Gong1、*, Lin Mao1,2, and Rubo Zhang1,2
Author Affiliations
  • 1College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian, Liaoning 116600, China
  • 2Key Laboratory of Intelligent Perception and Advanced Control State Ethnic Affairs Commission, Dalian Minzu University, Dalian, Liaoning 116600, China
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    [10] Kristan M, Matas J, Leonardis A et al. The visual object tracking VOT2015 challenge results. [C]∥2015 IEEE International Conference on Computer Vision Workshop (ICCVW), December 7-13, 2015, Santiago, Chile. New York: IEEE, 564-586(2015).

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    Dawei Yang, Xinfei Gong, Lin Mao, Rubo Zhang. Multi-Domain Convolutional Neural Network Tracking Algorithm Based on Reconstructed Feature Combination[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191501

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    Paper Information

    Category: Machine Vision

    Received: Mar. 22, 2019

    Accepted: Apr. 19, 2019

    Published Online: Oct. 12, 2019

    The Author Email: Gong Xinfei (chengshux@foxmail.com)

    DOI:10.3788/LOP56.191501

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