STResNet_CF Tracker: The Deep Spatiotemporal Features Learning for Correlation Filter Based Robust Visual Object Tracking

STResNet_CF Tracker: The Deep Spatiotemporal Features Learning for Correlation Filter Based Robust Visual Object Tracking

Constructing a robust appearance model of the visual object is a crucial task for visual object tracking. Recently, more and more studies combine spatial feature with a temporal feature to improve the tracking performance. These methods successfully apply the features from spatial and temporal to ad...

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Bibliographic Details
Main Authors: Zhengyu Zhu, Bing Liu, Yunbo Rao, Qiao Liu, Rui Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Spatiotemporal residual network
correlation filter
visual object tracking
deep learning
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/8660630/

Internet

https://ieeexplore.ieee.org/document/8660630/

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