Arbitration algorithm of FIR filter and optical flow based on ANFIS for visual object tracking

In Hwan Choi, Jung Min Pak, Choon Ki Ahn, Seung Han Lee, Myo Taeg Lim, Moon Kyou Song

    Research output: Contribution to journalArticlepeer-review

    29 Citations (Scopus)

    Abstract

    This paper proposes a new visual object tracking algorithm based on an adaptive neuro fuzzy inference system (ANFIS) for arbitration algorithm between a finite impulse response (FIR) filter and optical flow (OF). The proposed algorithm is called ANFIS-based FIR filter and OF arbitration (AFOA). The AFOA operates as an FIR filter for normal situations, keeping the computational cost low, and, when abrupt turns occur, converts to an OF to compensate for the inaccuracy of the FIR filter. An ANFIS-based arbitration algorithm constructs a mapping system from given inputs to an output using fuzzy logic and determines tracking mode of the tracking process between the FIR filter and the OF. The effectiveness of the AFOA algorithm is demonstrated by experiments employed on real-time video clips along with a comparative analysis with the ANFIS-based Kalman filter and OF arbitration (AKOA).

    Original languageEnglish
    Pages (from-to)338-353
    Number of pages16
    JournalMeasurement: Journal of the International Measurement Confederation
    Volume75
    DOIs
    Publication statusPublished - 2015 Nov 2

    Bibliographical note

    Funding Information:
    This work was supported in part by the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20142010102390), in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014R1A1A1006101), in part by General Research Program through National Research Foundation of Korea funded by the Ministry of Education (Grant No. NRF-2013R1A1A2008698), and in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2060663).

    Publisher Copyright:
    © 2015 Elsevier Ltd. All rights reserved.

    Keywords

    • ANFIS-based FIR filter and OF arbitration (AFOA)
    • Adaptive neuro fuzzy inference system (ANFIS)
    • Finite impulse response (FIR) filter
    • Optical flow
    • Visual object tracking

    ASJC Scopus subject areas

    • Instrumentation
    • Electrical and Electronic Engineering

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