Adaptive Correlation Model for Visual Tracking Using Keypoints Matching and Deep Convolutional Feature

Adaptive Correlation Model for Visual Tracking Using Keypoints Matching and Deep Convolutional Feature

Although correlation filter (CF)-based visual tracking algorithms have achieved appealing results, there are still some problems to be solved. When the target object goes through long-term occlusions or scale variation, the correlation model used in existing CF-based algorithms will inevitably learn...

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Bibliographic Details
Main Authors: Yuankun Li, Tingfa Xu, Honggao Deng, Guokai Shi, Jie Guo
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sensors
Subjects:
correlation filter-based visual tracking
deep convolutional neural network
deep convolutional feature
keypoints matching
adaptive model updating
Online Access:http://www.mdpi.com/1424-8220/18/2/653

Internet

http://www.mdpi.com/1424-8220/18/2/653

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