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An optimal fuzzy system for feature reliability measuring in particle filterbased object tracking

نویسنده (ها)
  • M. Komeili
  • M. Valizadeh
  • N. Armanfard
  • E. Kabir
مربوط به کنفرانس چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
چکیده In this paper, a fuzzy inference system by which reliability of features can be measured is designed. The reliability determines discriminative power of a feature in separating target from background. We focus our attention on design of membership functions. With a rational explanation on available information over a particle filter-base tracking process, we infer a coarse estimation of membership functions. It follows with a fine-tuning stage by using genetic algorithm. Color, edge, texture and TED are used in current work but the extension to a wider number of features is straightforward.
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  • برای اعضای سایت : ۱٠٠,٠٠٠ ریال
  • برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
  • برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال

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