Extended kernelised correlation filter tracking | Zendy

Ruan Yang | Zendy; Wei Zhenzhong | Zendy

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Extended kernelised correlation filter tracking

Author(s) -

Ruan Yang,

Wei Zhenzhong

Publication year - 2016

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

ISSN - 1350-911X

DOI - 10.1049/el.2016.0757

Subject(s) - bittorrent tracker , tracking (education) , artificial intelligence , histogram , computer vision , correlation , filter (signal processing) , feature (linguistics) , computer science , video tracking , pattern recognition (psychology) , fusion , histogram of oriented gradients , object (grammar) , eye tracking , mathematics , image (mathematics) , psychology , pedagogy , linguistics , philosophy , geometry

Due to the impressive high‐speed, correlation filters began to receive more attention. In this Letter, a real time target tracking framework based on the kernelised correlation filter is proposed. The framework includes two parts: a boosted fusion feature colour names‐histograms of oriented gradients (CN‐HOG) that consists of CNs and HOG, and a novel fragments‐based tracking algorithm that is robust to partial occlusion. Experiments with the evaluation of state‐of‐the‐art single object trackers show the effectiveness and speed of the proposed method.

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