Robust Visual Tracking Based on Adaptive Convolutional Features and Offline Siamese Tracker

Robust and accurate visual tracking is one of the most challenging computer vision problems. Due to the inherent lack of training data, a robust approach for constructing a target appearance model is crucial. The existing spatially regularized discriminative correlation filter (SRDCF) method learns...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Ximing Zhang, Mingang Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2018-07-01
Edice:	Sensors
Témata:	spatially regularized discriminative correlation filter (SRDCF)-based visual tracking deep convolutional features adaptive dimensionality reduction adaptive model update offline Siamese tracker
On-line přístup:	http://www.mdpi.com/1424-8220/18/7/2359
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!