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

Dawei Yang; Xinfei Gong; Lin Mao; Rubo Zhang

doi:10.3788/LOP56.191501

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 19 >Page 191501 > Article

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

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

Dawei Yang^1、2, Xinfei Gong^1、*, Lin Mao^1、2, and Rubo Zhang^1、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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DOI: 10.3788/LOP56.191501 Cite this Article Set citation alerts

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 Copy Citation Text

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