Dynamic feature fusion with spatial-temporal context for robust object tracking-Reference-Cited by-同舟云学术

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Dynamic feature fusion with spatial-temporal context for robust object tracking

Published:2022-10 Issue: Volume:130 Page:108775
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Nai Ke^ORCID,Li Zhiyong,Wang Haidong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference58 articles.

1. Staple: complementary learners for real-time tracking;Bertinetto,2016

2. Fully-convolutional siamese networks for object tracking;Bertinetto,2016

3. Learning discriminative model prediction for tracking;Blat,2019

4. Visual object tracking using adaptive correlation filters;Bolme,2010

5. Real-time actor-critic tracking;Chen,2018

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust tracking via coarse-to-fine redetection and spatial–temporal reliability evaluation;Expert Systems with Applications;2024-12

2. Efficient and lightweight convolutional neural network architecture search methods for object classification;Pattern Recognition;2024-12

3. Multi-camera multi-object tracking on the move via single-stage global association approach;Pattern Recognition;2024-08

4. SCGTracker: Spatio-temporal correlation and graph neural networks for multiple object tracking;Pattern Recognition;2024-05

5. Hierarchical Siamese network for real-time visual tracking;Expert Systems with Applications;2024-03

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