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

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 7, 2025

The article is cited by 3 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

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

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Machine Vision

Received: Mar. 22, 2019

Accepted: Apr. 19, 2019

Published Online: Oct. 12, 2019

The Author Email: Xinfei Gong (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