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

Laser & Optoelectronics Progress, Volume. 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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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

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology