Conference Paper

Real-Time Segmentation of Moving Objects in H.264 Compressed Domain with Dynamic Design of Fuzzy Sets.

Conference: Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009
Source: DBLP
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    ABSTRACT: In ongoing work on spatial relations and scene interpretation, we present a system that linguistically describes the motion of an object in a temporal sequence. This description, called dynamic linguistic description, is inferred from a sequence of static linguistic descriptions explaining the relative position, at different instances, between a moving object and a stationary object. In this preliminary work, the moving object is assumed to be moving in a straight path at a constant velocity. The scene is monitored from a fixed pose with a constant frame rate. The proposed system is potentially useful as a low-bandwidth remote observation system capable of linguistically reporting relative position and motion in a scene.
    Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American; 02/2002
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    ABSTRACT: Fuzzy set methods have been used to model and manage uncertainty in various aspects of image processing, pattern recognition, and computer vision. High-level computer vision applications hold a great potential for fuzzy set theory because of its links to natural language. Linguistic scene description, a language-based interpretation of regions and their relationships, is one such application that is starting to bear the fruits of fuzzy set theoretic involvement. In this paper, we are expanding on two earlier endeavors. We introduce new families of fuzzy directional relations that rely on the computation of histograms of forces. These families preserve important relative position properties. They provide inputs to a fuzzy rule base that produces logical linguistic descriptions along with assessments as to the validity of the descriptions. Each linguistic output uses hedges from a dictionary of about 30 adverbs and other terms that can be tailored to individual users. Excellent results from several synthetic and real image examples show the applicability of this approach.
    IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 02/2001; 31(4):573-88. · 3.24 Impact Factor

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