Complex Scene Tracking Algorithm Based on Multi-feature Fusion-Reference-Cited by-同舟云学术

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Complex Scene Tracking Algorithm Based on Multi-feature Fusion

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)
language:
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Author:

Cheng Jian¹,Xiao Hongfei²,Chen Liang²,Yan Pengpeng¹,Guo Yinan³

Affiliation:

1. Research Institute of Mine Big Data,China Coal Research Institute,Beijing,China

2. China University of Mining and Technology,School of Information and Control Engineering,Xuzhou,China

3. China University of Mining and Technology (Beijing),School of Electromechanical and Information Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731095/9730887/09730889.pdf?arnumber=9730889

Reference13 articles.

1. Visual recognition method of nonferrous metal crushed material based on deep residual network[J];li;Nonferrous Metal Engineering,2019

2. A maritime target tracking algorithm based on deep fusion of convolutional features[J];zhang;Computer Engineering and Design,2020

3. A scale adaptive kernel correlation filter tracker with feature integration[C];li;Proceedings of European Conference on Computer Vision Computer Vision-ECCV 2014 Workshops,2014

4. Online Object Tracking: A Benchmark

5. Video abnormal event detection based on spatio-temporal fusion graph network learning[J];zhou;Computer Research and Development,2021

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