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Visual tracking via context-aware local sparse appearance model

  • Published:2018-10 Issue: Volume:56 Page:92-105
  • ISSN:1047-3203
  • Container-title:Journal of Visual Communication and Image Representation
  • language:en
  • Short-container-title:Journal of Visual Communication and Image Representation

Author:

Li Guiji,Peng Manman,Nai Ke,Li Zhiyong,Li Keqin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference56 articles.

1. Tracking-learning-detection;Kalal;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Robust object tracking via sparse collaborative appearance model;Zhong;IEEE Trans. Image Process.,2014

3. Robust visual tracking via multiple kernel boosting with affinity constraints;Yang;IEEE Trans. Circuits Syst. Video Technol.,2014

4. Multi-timescale collaborative tracking;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2017

5. High-speed tracking with kernelized correlation filters;Henriques;IEEE Trans. Pattern Anal. Mach. Intell.,2015

Cited by 11 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. Structural local sparse and low-rank tracker using deep features;Multimedia Systems;2023-03-05

2. Image 3D Reconstruction and Interaction Based on Digital Twin and Visual Communication Effect;Mobile Information Systems;2022-07-23

3. Learning a Dynamic Feature Fusion Tracker for Object Tracking;IEEE Transactions on Intelligent Transportation Systems;2022-02

4. Multiple Reliable Structured Patches for Object Tracking;Cognitive Computation;2020-07-31

5. Visual object tracking using sparse context-aware spatio-temporal correlation filter;Journal of Visual Communication and Image Representation;2020-07
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