Fast and accurate object tracking by succesive learning of lifting wavelet filters

Ryuichi Ikeura, Shigeru Takano, Koichi Niijima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a novel object tracking method which uses lifting wavelet filters. Our method is based on successive learning of free parameters in a lifting filter. To realize fast learning, the free parameters are determined by solving some minimization problems using Lagrange method. The filter learned for the object in the previous frame is used as an initial filter of a new lifting filter to be learned for the object in the present frame. In simulation, human right eye in a sequence of images is tracked accurately by our method.

    Original languageEnglish
    Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
    PublisherEuropean Signal Processing Conference, EUSIPCO
    Pages277-280
    Number of pages4
    ISBN (Electronic)9783200001657
    Publication statusPublished - Apr 3 2015
    Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
    Duration: Sep 6 2004Sep 10 2004

    Publication series

    NameEuropean Signal Processing Conference
    Volume06-10-September-2004
    ISSN (Print)2219-5491

    Other

    Other12th European Signal Processing Conference, EUSIPCO 2004
    CountryAustria
    CityVienna
    Period9/6/049/10/04

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering

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