Adaptive Learning Rate and Spatial Regularization Background Perception Filter for Visual Tracking

Kai Lv; Liang Yuan; Li He; Ran Huang; Jie Mei

doi:10.1007/978-3-030-93046-2_57

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Adaptive Learning Rate and Spatial Regularization Background Perception Filter for Visual Tracking

Kai Lv Liang Yuan Li He Ran Huang Jie Mei

Year: 2021 Lecture notes in computer science Pages: 674-685 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-93046-2_57

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Keywords:

Computer science Regularization (linguistics) Artificial intelligence Filter (signal processing) Computer vision Video tracking Eye tracking Perception Correlation Pattern recognition (psychology) Object (grammar) Mathematics

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Adaptive Learning Rate and Spatial Regularization Background Perception Filter for Visual Tracking

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