Learning Local Structured Correlation Filters for Visual Tracking via Spatial Joint Regularization

Robust visual tracking is a fundamental problem in the field of computer vision and has a wide range of practical applications. Recent progress in developing robust tracking methods are mainly made upon discriminative correlation filters (DCF). However, most DCF-based methods develop their trackers...

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Bibliographic Details
Main Authors: Chenggang Guo, Dongyi Chen, Zhiqi Huang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8672069/