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Search Results (4)

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Keywords = Dirk Philips

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5 pages, 146 KiB  
Article
Dirk Philips’ Letter and Spirit: An Anabaptist Contribution to Reformation Hermeneutics
by Aaron Schubert
Religions 2017, 8(3), 41; https://doi.org/10.3390/rel8030041 - 15 Mar 2017
Cited by 2 | Viewed by 5529
Abstract
Dirk Philips provides an explanation of how a Christian should interpret Scripture in his Enchiridion. Such chapters as “The Sending of Preachers and Teachers,” “The Tabernacle of Moses,” and “Of Spiritual Restitution” provide the clearest picture for students of this Anabaptist hermeneutic, [...] Read more.
Dirk Philips provides an explanation of how a Christian should interpret Scripture in his Enchiridion. Such chapters as “The Sending of Preachers and Teachers,” “The Tabernacle of Moses,” and “Of Spiritual Restitution” provide the clearest picture for students of this Anabaptist hermeneutic, a hermeneutic which interprets all of Scripture through the dichotomy of the letter and the Spirit, united in their central theme, Christ and the Church, a reading that can only be found through a hermeneutic of obedience. Full article
(This article belongs to the Special Issue Teaching the Reformations)
24 pages, 1635 KiB  
Article
Extrinsic Calibration of Camera Networks Based on Pedestrians
by Junzhi Guan, Francis Deboeverie, Maarten Slembrouck, Dirk Van Haerenborgh, Dimitri Van Cauwelaert, Peter Veelaert and Wilfried Philips
Sensors 2016, 16(5), 654; https://doi.org/10.3390/s16050654 - 9 May 2016
Cited by 23 | Viewed by 5685
Abstract
In this paper, we propose a novel extrinsic calibration method for camera networks by analyzing tracks of pedestrians. First of all, we extract the center lines of walking persons by detecting their heads and feet in the camera images. We propose an easy [...] Read more.
In this paper, we propose a novel extrinsic calibration method for camera networks by analyzing tracks of pedestrians. First of all, we extract the center lines of walking persons by detecting their heads and feet in the camera images. We propose an easy and accurate method to estimate the 3D positions of the head and feet w.r.t. a local camera coordinate system from these center lines. We also propose a RANSAC-based orthogonal Procrustes approach to compute relative extrinsic parameters connecting the coordinate systems of cameras in a pairwise fashion. Finally, we refine the extrinsic calibration matrices using a method that minimizes the reprojection error. While existing state-of-the-art calibration methods explore epipolar geometry and use image positions directly, the proposed method first computes 3D positions per camera and then fuses the data. This results in simpler computations and a more flexible and accurate calibration method. Another advantage of our method is that it can also handle the case of persons walking along straight lines, which cannot be handled by most of the existing state-of-the-art calibration methods since all head and feet positions are co-planar. This situation often happens in real life. Full article
(This article belongs to the Section Physical Sensors)
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21 pages, 464 KiB  
Article
Extrinsic Calibration of Camera Networks Using a Sphere
by Junzhi Guan, Francis Deboeverie, Maarten Slembrouck, Dirk Van Haerenborgh, Dimitri Van Cauwelaert, Peter Veelaert and Wilfried Philips
Sensors 2015, 15(8), 18985-19005; https://doi.org/10.3390/s150818985 - 4 Aug 2015
Cited by 36 | Viewed by 7549
Abstract
In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t. the local camera [...] Read more.
In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t. the local camera coordinate system. Then, we propose to use orthogonal procrustes analysis to pairwise estimate the initial camera relative extrinsic parameters based on the aforementioned estimation of 3D positions. Finally, an optimization routine is applied to jointly refine the extrinsic parameters for all cameras. Compared to existing sphere-based 3D position estimators which need to trace and analyse the outline of the sphere projection in the image, the proposed method requires only very simple image processing: estimating the area and the center of mass of the sphere projection. Our results demonstrate that we can get a more accurate estimate of the extrinsic parameters compared to other sphere-based methods. While existing state-of-the-art calibration methods use point like features and epipolar geometry, the proposed method uses the sphere-based 3D position estimate. This results in simpler computations and a more flexible and accurate calibration method. Experimental results show that the proposed approach is accurate, robust, flexible and easy to use. Full article
(This article belongs to the Section Sensor Networks)
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25 pages, 1140 KiB  
Article
Human Mobility Monitoring in Very Low Resolution Visual Sensor Network
by Nyan Bo Bo, Francis Deboeverie, Mohamed Eldib, Junzhi Guan, Xingzhe Xie, Jorge Niño, Dirk Van Haerenborgh, Maarten Slembrouck, Samuel Van de Velde, Heidi Steendam, Peter Veelaert, Richard Kleihorst, Hamid Aghajan and Wilfried Philips
Sensors 2014, 14(11), 20800-20824; https://doi.org/10.3390/s141120800 - 4 Nov 2014
Cited by 21 | Viewed by 7788
Abstract
This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power consumption. The core of our [...] Read more.
This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power consumption. The core of our proposed system is a robust people tracker that uses low resolution videos provided by the visual sensor network. The distributed processing architecture of our tracking system allows all image processing tasks to be done on the digital signal controller in each visual sensor. In this paper, we experimentally show that reliable tracking of people is possible using very low resolution imagery. We also compare the performance of our tracker against a state-of-the-art tracking method and show that our method outperforms. Moreover, the mobility statistics of tracks such as total distance traveled and average speed derived from trajectories are compared with those derived from ground truth given by Ultra-Wide Band sensors. The results of this comparison show that the trajectories from our system are accurate enough to obtain useful mobility statistics. Full article
(This article belongs to the Special Issue Ambient Assisted Living (AAL): Sensors, Architectures and Applications)
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