Visual tracking using convolutional features with sparse coding

Visual object tracking has become one of the most active research topics in computer vision, and it has been applied in several commercial applications. Several visual trackers have been presented in the last two decades. They target different tracking objectives. Object tracking from a real-time vi...

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Veröffentlicht in:	The Artificial intelligence review Jg. 54; H. 5; S. 3349 - 3360
Hauptverfasser:	Abbass, Mohammed Y., Kwon, Ki-Chul, Kim, Nam, Abdelwahab, Safey A., El-Samie, Fathi E. Abd, Khalaf, Ashraf A. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.06.2021 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Clutter Computer assisted research Computer Science Computer vision Feature extraction Machine vision Measurement Occlusion Optical tracking Real time Robustness Sparse matrices Support vector machines Technology application Tracking Compressive sensing Convolutional features SVM Object tracking
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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