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Conditional Random Field Tracking Model Based on a Visual Long Short Term Memory Network

Pei-Xin Liu Zhao-Sheng Zhu Xiao-Feng Ye Xiao-Feng Li

电子科技学刊2020,Vol.18Issue(4):308-319,12.
电子科技学刊2020,Vol.18Issue(4):308-319,12.DOI:10.1016/j.jnlest.2020.100031

Conditional Random Field Tracking Model Based on a Visual Long Short Term Memory Network

Conditional Random Field Tracking Model Based on a Visual Long Short Term Memory Network

Pei-Xin Liu 1Zhao-Sheng Zhu 1Xiao-Feng Ye 1Xiao-Feng Li1

作者信息

  • 1. School of Information and Communication Engineering, University ofElectronic Science and Technology of China, Chengdu 611731
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摘要

关键词

Conditional random field (CRF)/long short term memory network (LSTM)/motion estimation/multiple object tracking (MOT)

Key words

Conditional random field (CRF)/long short term memory network (LSTM)/motion estimation/multiple object tracking (MOT)

引用本文复制引用

Pei-Xin Liu,Zhao-Sheng Zhu,Xiao-Feng Ye,Xiao-Feng Li..Conditional Random Field Tracking Model Based on a Visual Long Short Term Memory Network[J].电子科技学刊,2020,18(4):308-319,12.

电子科技学刊

OACSCD

1674-862X

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