323,093 research outputs found

    Genetic defects in cytoskeletal, ion channel, and celladhesion proteins, and their interactions: mechanophysiology of mutant mouse muscles

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    Wieneke S. Genetic defects in cytoskeletal, ion channel, and celladhesion proteins, and their interactions: mechanophysiology of mutant mouse muscles. Bielefeld; 2002

    Histogram-PMHT for extended targets and target groups in images

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    This article deals with the integration of random matrices into the Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT), a parametric track-before-detect method that locates targets in imagery by fitting a mixture of probability densities. The random matrices are used to describe the unknown physical extent of targets in the sensor image, a parameter that can change with time depending on the target orientation and sensor geometry. The track management model is extended to allow merging and splitting targets. The performance of the algorithm is quantified through simulations and using a benchmark people surveillance data set from the CAVIAR project.Monika Wieneke, Sam Dave

    Histogram PMHT with target extent estimates based on random matrices

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    Conventional tracking approaches are based on the assumption that the targets to be tracked are point targets and that the measurements to be processed are point measurements. However, when a sensor provides image data of high resolution in which targets might be distributed over several display cells, neither assumption is suitable. In such applications the estimation of the target extent and the utilization of the complete image frame are crucial to achieve good tracking performance. Recently, a Bayesian filter for single extended object tracking based on random matrices has been proposed. In this approach ellipsoidal object extents are modeled by random matrices and treated as additional state variables. This article deals with the integration of random matrices into the Histogram Probabilistic Multi-Hypothesis Tracker. The novel approach tracks multiple extended targets directly in an image sequence without previous point measurement extraction. The superiority of the algorithm is proven by simulations.Monika Wieneke and Samuel J. Dave

    Diffusive author(s), cohesive author: Analysis of S/N (1994)

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    This study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    H-PMHT for correlated targets

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    The Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) is a parametric track-before-detect algorithm that has been shown to give good performance at a relatively low computation cost. Recent research has extended the algorithm to allow it to estimate the signature of targets in the sensor image. This paper shows how this approach can be adapted to address the problem of group target tracking where the motion of several targets is correlated. The group structure is treated as the target signature, resulting in a two-tiered estimator for the group bulk-state and group element relative position. © 2012 SPIE.Samuel J. Davey ; Monika Wieneke ; Neil J. Gordo

    Determination of view vectors from image warping mapping functions

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    The measurands of several reported laser-based measurement techniques are sensitive to both the propagation direction of the laser and the viewing direction from the region of interest to the detector. For such imaging techniques, the view vector must be determined uniquely for each pixel in the detector array. The bulk view vector is often physically measured and a simple model used to determine the view vector for each pixel. This, however, has limitations where access is limited, the distances involved are small, or the optical system employed introduces errors. We describe a procedure to determine the unique view vector from a planar region to the detector (CCD camera) for each element in a 2-D array based on a reference target aligned with the planar region of interest. Determination of the view vector is based on the spatial distribution of the mapping function used to dewarp the view. No physical measurement of the view vector is required. Good agreement is achieved when the procedure is compared to a simple pin-hole camera model of the view using a computed test target. (C) 2004 Society of Photo-Optical Instrumentation Engineers
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