An optimal fuzzy system for feature reliability measuring in particle filterbased object tracking
عنوان مقاله: An optimal fuzzy system for feature reliability measuring in particle filterbased object tracking
شناسه ملی مقاله: CSICC14_058
منتشر شده در چهاردهمین کنفرانس بین المللی سالانه انجمن کامپیوتر ایران در سال 1388
شناسه ملی مقاله: CSICC14_058
منتشر شده در چهاردهمین کنفرانس بین المللی سالانه انجمن کامپیوتر ایران در سال 1388
مشخصات نویسندگان مقاله:
N Armanfard - Dept of Electrical Engineering, Tarbiat Modarres University
M Valizadeh - Dept of Electrical Engineering, Tarbiat Modarres University
M Komeili - Dept of Electrical Engineering, Tarbiat Modarres University
E Kabir
خلاصه مقاله:
N Armanfard - Dept of Electrical Engineering, Tarbiat Modarres University
M Valizadeh - Dept of Electrical Engineering, Tarbiat Modarres University
M Komeili - Dept of Electrical Engineering, Tarbiat Modarres University
E Kabir
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.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/73024/