Real-Time Visual Tracking with Variational Structure Attention Network

Real-Time Visual Tracking with Variational Structure Attention Network

Online training framework based on discriminative correlation filters for visual tracking has recently shown significant improvement in both accuracy and speed. However, correlation filter-base discriminative approaches have a common problem of tracking performance degradation when the local structu...

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Bibliographic Details
Main Authors: Yeongbin Kim, Joongchol Shin, Hasil Park, Joonki Paik
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
visual tracking
convolutional neural network
variational auto-encoder
correlation filter
Online Access:https://www.mdpi.com/1424-8220/19/22/4904

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