Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects | Zendy

Peter Poschmann | Zendy; Patrik Huber | Zendy; Matthias Rätsch | Zendy; Joseph Kittler | Zendy; Hans-Joachim Böhme | Zendy

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Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects

Author(s) -

Peter Poschmann,

Patrik Huber,

Matthias Rätsch,

Joseph Kittler,

Hans-Joachim Böhme

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.11.025

Subject(s) - computer science , robustness (evolution) , computer vision , artificial intelligence , particle filter , tracking (education) , sliding window protocol , detector , optical flow , code (set theory) , concept drift , fusion , tracking system , filter (signal processing) , window (computing) , image (mathematics) , machine learning , psychology , telecommunications , pedagogy , biochemistry , chemistry , set (abstract data type) , gene , programming language , operating system , linguistics , philosophy , data stream mining

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