Robust real-time visual object tracking via multi-scale fully convolutional Siamese networks

Longchao Yang; Peilin Jiang; Fei Wang; Xuan Wang

doi:10.1007/s11042-018-5664-7

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Robust real-time visual object tracking via multi-scale fully convolutional Siamese networks

Longchao Yang Peilin Jiang Fei Wang Xuan Wang

Year: 2018 Journal: Multimedia Tools and Applications Vol: 77 (17)Pages: 22131-22143 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-018-5664-7

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Keywords:

Computer science Artificial intelligence Convolutional neural network BitTorrent tracker Computer vision Frame (networking) Object (grammar) Eye tracking Video tracking Pattern recognition (psychology) Scale (ratio) Tracking (education)

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robust real-time visual object tracking via multi-scale fully convolutional Siamese networks

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