Learning a Context-Aware Environmental Residual Correlation Filter via Deep Convolution Features for Visual Object Tracking

Visual tracking has become widespread in swarm robots for intelligent video surveillance, navigation, and autonomous vehicles due to the development of machine learning algorithms. Discriminative correlation filter (DCF)-based trackers have gained increasing attention owing to their efficiency. This...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Sachin Sakthi Kuppusami Sakthivel, Sathishkumar Moorthy, Sathiyamoorthi Arthanari, Jae Hoon Jeong, Young Hoon Joo
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2024-07-01
Seria:	Mathematics
Hasła przedmiotowe:	selective spatial regularizer context-aware object tracking correlation filters multi-feature fusion
Dostęp online:	https://www.mdpi.com/2227-7390/12/14/2279
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!