An optimal fuzzy system for feature reliability measuring in particle filterbased object tracking
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,276
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شناسه ملی سند علمی:
CSICC14_058
تاریخ نمایه سازی: 24 خرداد 1388
چکیده مقاله:
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.
نویسندگان
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