Deep Directional Network for Object Tracking
Existing object trackers are mostly based on correlation filtering and neural network frameworks. Correlation filtering is fast but has poor accuracy. Although a neural network can achieve high precision, a large amount of computation increases the tracking time. To address this problem, we utilize...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-11-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/11/11/178 |