Open AccessExtended 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.