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Robust Tracking Based on Multi-feature Fusion
2018In target tracking, only the single feature description target and the traditional model updating method are difficult to adapt to the occlusion, deformation and various complex scene changes of the target. To solve this problem, a correlation filter tracking algorithm based on multi-feature fusion and selective update model is proposed.
Zhuma YiZheng +3 more
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Multi-feature fusion behavior recognition model
Journal of Image and Graphics, 2020Tan Dengtai +3 more
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Visual tracking based on multi-feature fusion
2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022Xiaoning Zhao +3 more
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sEMG-Based Gesture Recognition via Multi-Feature Fusion Network
IEEE Journal of Biomedical and Health InformaticsThe sparse surface electromyography-based gesture recognition suffers from the problems of feature information not richness and poor generalization to small sample data. Therefore, a multi-feature fusion network (MFF-Net) model is proposed in this paper. This network incorporates long short-term memory (LSTM) and the attention mechanism into the model,
Zekun Chen +4 more
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Multi-feature fusion vehicle identification technology
Infrared and Laser Engineering, 2018程 全 Cheng Quan +3 more
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Multi-feature fusion-based image morphing
Journal of Image and Graphics, 2014Hongguang Xiao +4 more
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Multi-feature fusion network for person reidentification
Journal of Electronic Imaging, 2023Xihe Wang +3 more
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Knowledge tracing based on multi-feature fusion
Neural Computing and Applications, 2022Yongkang Xiao +5 more
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Vehicle shadow removal with multi-feature fusion
Journal of Image and Graphics, 2015Yichuan Qiu, Yaying Zhang, Chunmei Liu
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Multi-Feature Fusion for Airport FOD Detection
CICTP 2020, 2020Jida Chen, Xinmin Tang, Xiaoqi Ji
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