Using Multi-Target Tracking and Identification TLD Algorithm for Intelligent Mobile Robot

DOI
  • Guo Jr-Hung
    Department of Electrical Engineering, National Chin-Yi University Of Technology
  • Hsia Kuo-Hsien
    Department of Electrical Engineering, Far East University
  • Su Kuo-Lan
    Department of Electrical Engineering, National Yunlin University of Science & Technology

説明

Image algorithms used herein are Tracking-Learning-Detection (TLD) and Speed UP Robust Features (SURF). TLD is used for target tracking and SURF is used for identifying targets. We use zoning identification, with the use of statistical probability to strengthen the efficiency of TLD and SURF. With such a method, the efficiency of image identification and target tracking can be enhanced so that the robot can simultaneously track and identify multiple targets.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390001288151814784
  • DOI
    10.5954/icarob.2016.os2-3
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
  • 抄録ライセンスフラグ
    使用不可

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