Online non-negative discriminative dictionary learning for tracking

Online non-negative discriminative dictionary learning for tracking

Abstract In this paper, online non-negative discriminative dictionary learning for tracking is proposed, which combines the advantages of the global dictionary learning model and the class-specific dictionary learning model. The previous algorithm based on general dictionary learning does not take i...

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Bibliographic Details
Main Authors: Weisong Wang, Fei Yang, Hongzhi Zhang
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Object tracking
Discriminative learning
Dictionary learning
Sparse coding
Online Access:http://link.springer.com/article/10.1186/s13634-019-0638-0

Internet

http://link.springer.com/article/10.1186/s13634-019-0638-0

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