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

Publish Year: 1388
Type: Conference paper
Language: English
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CSICC14_058

Index date: 14 June 2009

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

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.

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

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