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

doi:10.1016/j.measurement.2015.07.020

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 journal › Article › peer-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 language	English
Pages (from-to)	338-353
Number of pages	16
Journal	Measurement: Journal of the International Measurement Confederation
Volume	75
DOIs	https://doi.org/10.1016/j.measurement.2015.07.020
Publication status	Published - 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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10.1016/j.measurement.2015.07.020

Cite this

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title = "Arbitration algorithm of FIR filter and optical flow based on ANFIS for visual object tracking",

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).",

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",

author = "Choi, {In Hwan} and Pak, {Jung Min} and Ahn, {Choon Ki} and Lee, {Seung Han} and Lim, {Myo Taeg} and Song, {Moon Kyou}",

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: {\textcopyright} 2015 Elsevier Ltd. All rights reserved.",

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AU - Lim, Myo Taeg

AU - Song, Moon Kyou

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PY - 2015/11/2

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N2 - 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).

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

Abstract

Bibliographical note

Keywords

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