Multimedia Technology IV – Farag, Yang & Jiao (Eds)
© 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02794-7
Visual tracking via discriminative random ferns
Hui Wen
Beijing Key Laboratory of IOT Information Security Technology,
Institute of Information Engineering, CAS, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Shuixian Chen, Shiming Ge & Limin Sun
Beijing Key Laboratory of IOT Information Security Technology,
Institute of Information Engineering, CAS, Beijing, China
ABSTRACT: This paper presents a method for long-term tracking in unconstrained environments. It provides
discriminative random fens that integrated into the tracking by detection framework as the object detector for
improving the capability of tracking ...