Learning spatio-temporal context via hierarchical features for visual tracking-Reference-Cited by-同舟云学术

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Learning spatio-temporal context via hierarchical features for visual tracking

Published:2018-08 Issue: Volume:66 Page:50-65
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Cao Yi,Ji Hongbing,Zhang Wenbo,Xue Fei

Funder

National Natural Science Foundation of China

Basic Science Research Project of Shaanxi Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference55 articles.

1. Visual tracking via adaptive structural local sparse appearance model;Jia,2012

2. Accurate scale estimation for robust visual tracking;Danelljan,2014

3. Exploiting the circulant structure of tracking-by-detection with kernels;Henriques,2012

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

5. Collaborative correlation tracking;Zhu,2015

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