Feature-Based Sequence-to-Sequence Matching
نویسندگان
چکیده
منابع مشابه
Feature-Based Sequence-to-Sequence Matching
This paper studies the problem of matching two unsynchronized video sequences of the same dynamic scene, recorded by di erent stationary uncalibrated video cameras. The matching is done both in time and in space, where the spatial matching can be modeled by a 2D homography or a (3D) fundamental matrix. Our approach is based on matching space-time trajectories of moving objects, in contrast to m...
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Sequences of event intervals appear in several application domains including sign language, sensor networks, medicine, human motion databases, and linguistics. Such sequences comprise events that occur at time intervals and are time stamped at their start and end time. In this paper, we propose a new method, called IBSM, for comparing such sequences. IBSM performs full sequence matching using a...
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This dissertation reports on research, development, and evaluation of a color based video sequence identification and tracking algorithm. We describe an automatic video sequence identification and tracking algorithm that detects and extracts repeated video sequences from a continuous video stream. Because our technique is domain and video source independent, it is applicable to any video stream...
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The recent growing of the Semantic Web requires the need to cope with highly semantic heterogeneities among available ontologies. Ontology matching techniques aim to tackle this problem by establishing correspondences between ontologies’ elements. An intricate obstacle faces the ontology matching problem is its scalability against large number and large-scale ontologies. To tackle these challen...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2006
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-005-4842-z