Collaborative Learning based on Convolutional Features and Correlation Filter for Visual Tracking

Suryo Adhi Wibowo; Hansoo Lee; Eun Kyeong Kim; Sungshin Kim

doi:10.1007/s12555-017-0062-x

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Collaborative Learning based on Convolutional Features and Correlation Filter for Visual Tracking

Suryo Adhi Wibowo Hansoo Lee Eun Kyeong Kim Sungshin Kim

Year: 2018 Journal: International Journal of Control Automation and Systems Vol: 16 (1)Pages: 335-349 Publisher: Springer Science+Business Media

DOI: 10.1007/s12555-017-0062-x

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Keywords:

Discriminative model Artificial intelligence Computer science Eye tracking Benchmark (surveying) Feature (linguistics) Pattern recognition (psychology) Video tracking Computer vision Tracking (education) Histogram Convolutional neural network Object (grammar) Filter (signal processing) Image (mathematics)

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fire Detection and Safety Systems

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

IoT-based Smart Home Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Collaborative Learning based on Convolutional Features and Correlation Filter for Visual Tracking

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Citation History

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