Academic literature on the topic 'Motion detector'

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Journal articles on the topic "Motion detector"

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Laursen, Lucas. "Motion detector." Nature 458, no. 7241 (2009): 956. http://dx.doi.org/10.1038/458956b.

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Mitschele, Jonathan. "Protecting your motion detector." Physics Teacher 32, no. 8 (1994): 467. http://dx.doi.org/10.1119/1.2344082.

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Lazar, Aurel A., Nikul H. Ukani, and Yiyin Zhou. "A Motion Detection Algorithm Using Local Phase Information." Computational Intelligence and Neuroscience 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/7915245.

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Previous research demonstrated thatglobalphase alone can be used to faithfully represent visual scenes. Here we provide a reconstruction algorithm by using onlylocalphase information. We also demonstrate that local phase alone can be effectively used to detect local motion. The local phase-based motion detector is akin to models employed to detect motion in biological vision, for example, the Reichardt detector. The local phase-based motion detection algorithm introduced here consists of two building blocks. The first building block measures/evaluates the temporal change of the local phase. Th
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Walker, Michael J., and Jeffrey A. Bagnall. "Dual‐band ultrasonic motion detector." Journal of the Acoustical Society of America 80, no. 4 (1986): 1276. http://dx.doi.org/10.1121/1.393791.

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Guscott, John K. "Constant range ultrasonic motion detector." Journal of the Acoustical Society of America 82, no. 3 (1987): 1103. http://dx.doi.org/10.1121/1.395353.

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Koivunen, T. "A noise-insensitive motion detector." IEEE Transactions on Consumer Electronics 38, no. 3 (1992): 168–74. http://dx.doi.org/10.1109/30.156679.

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Biswas, Tirthabir, and Chi-Hon Lee. "Visual Motion: Cellular Implementation of a Hybrid Motion Detector." Current Biology 27, no. 7 (2017): R274—R276. http://dx.doi.org/10.1016/j.cub.2017.01.040.

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Hedin, J., J. Gumbel, and M. Rapp. "On the efficiency of rocket-borne particle detection in the mesosphere." Atmospheric Chemistry and Physics Discussions 7, no. 1 (2007): 1183–214. http://dx.doi.org/10.5194/acpd-7-1183-2007.

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Abstract. Meteoric smoke particles have been proposed as a key player in the formation and evolution of mesospheric phenomena. Despite their apparent importance still very little are known about these particles. Sounding rockets are used to measure smoke in situ, but aerodynamics has remained a major challenge. Basically, smoke particles are so small that they tend to follow the gas flow around the payload rather than reaching the detector if aerodynamics is not considered carefully in the detector design. So far only indirect evidence for the existence of these smoke particles has been availa
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Hedin, J., J. Gumbel, and M. Rapp. "On the efficiency of rocket-borne particle detection in the mesosphere." Atmospheric Chemistry and Physics 7, no. 14 (2007): 3701–11. http://dx.doi.org/10.5194/acp-7-3701-2007.

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Abstract. Meteoric smoke particles have been proposed as a key player in the formation and evolution of mesospheric phenomena. Despite their apparent importance still very little is known about these particles. Important questions concern the smoke number density and size distribution as a function of altitude as well as the fraction of charged particles. Sounding rockets are used to measure smoke in situ, but aerodynamics has remained a major challenge. Basically, the small smoke particles tend to follow the gas flow around the payload rather than reaching the detector if aerodynamics is not
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Borst, Alexander. "Correlation versus gradient type motion detectors: the pros and cons." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1479 (2007): 369–74. http://dx.doi.org/10.1098/rstb.2006.1964.

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Visual motion contains a wealth of information about self-motion as well as the three-dimensional structure of the environment. Therefore, it is of utmost importance for any organism with eyes. However, visual motion information is not explicitly represented at the photoreceptor level, but rather has to be computed by the nervous system from the changing retinal images as one of the first processing steps. Two prominent models have been proposed to account for this neural computation: the Reichardt detector and the gradient detector. While the Reichardt detector correlates the luminance levels
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Dissertations / Theses on the topic "Motion detector"

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Drumheller, Michael. "Synthesizing a motion detector from examples." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/13662.

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Eichner, Hubert. "Internal structure of the fly elementary motion detector." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-140290.

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Moini, Alireza. "Design of a VLSI motion detector based upon the insect visual system /." Title page, table of contents and introduction only, 1993. http://web4.library.adelaide.edu.au/theses/09ENS/09ensm712.pdf.

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Eichner, Hubert [Verfasser], and Alexander [Akademischer Betreuer] Borst. "Internal structure of the fly elementary motion detector / Hubert Eichner. Betreuer: Alexander Borst." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012. http://d-nb.info/1020143835/34.

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Mawla, Aya Abdul. "Real time automatic intruder detection system (RAIDS)." Thesis, University of Bristol, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319332.

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Bolzon, Douglas. "Small moving bars elicit local receptive field orientation preference in hoverfly (Eristalis tenax) small target motion detector neurons /." Title page and summary only, 2005. http://web4.library.adelaide.edu.au/theses/09SB/09sbb6949.pdf.

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Balyta, Peter. "The effects of using motion detector technology to develop conceptual understanding of functions through dynamic representation in grade 6 students." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0016/MQ47792.pdf.

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Bayraktar, Ekrem. "Design And Implementation Of A Mems Based Gravimetric Detector For Cytometry Applications." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612482/index.pdf.

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This thesis reports design and implementation of a MEMS based gravimetric resonator for cytometry applications. There are mainly two objectives of this thesis<br>to enable in-flow analysis and to perform closed loop operation that does not require any additional processing or equipment. A novel MEMS based resonator with in-flow capabilities is proposed for detection of agents inside micro channels. High resolution of mass detection inside micro channels is planned to be succeeded with lateral motion in the micro channel floor. The idea embedding lateral resonators emerges from decreasing squee
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Wise, Zachary Gordon Lee. "System Optimization and Patient Translational Motion Correction for Reduction of Artifacts in a Fan-Beam CT Scanner." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1347918440.

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Cropper, Simon James. "Human motion detection : different patterns, different detectors?" Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319544.

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Books on the topic "Motion detector"

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Ljubo, Vlacic, and Institution of Electrical Engineers, eds. Motion vision: Design of compact motion sensing solutions for autonomous systems navigation. Institution of Electrical Engineers, 2005.

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Niels Joseph da Vitoria Lobo. Directionally-selective, velocity-sensitive motion detection. University of Toronto, Dept. of Computer Science, 1985.

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del, Pobil Ángel P., and SpringerLink (Online service), eds. Robust Motion Detection in Real-Life Scenarios. Springer London, 2012.

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Martínez-Martín, Ester, and Ángel P. del Pobil. Robust Motion Detection in Real-Life Scenarios. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4216-4.

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Agarwal, Pankaj. Red-blue intersection detection algorithms, with applications to motion planning and collision detection. Courant Institute of Mathematical Sciences, New York University, 1988.

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Greig, Glenn Lewis. Masking of motion cues by random motion: Comparison of human performance with a signal detection model. [Institute for Aerospace Studies], 1987.

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Greig, Glenn Lewis. Masking of motion cues by random motion: comparison of human performance with a signal detection model. Institute for Aerospace Studies, 1988.

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Taheri, B. Parallel processors for low-level image processing and motion detection. UMIST, 1994.

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Donald, Bruce R. Error detection and recovery for robot motion planning with uncertainty. MIT Artificial Intelligence Laboratory, 1987.

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Shi zha wei yi chuan gan qi yu xin xing ji chuang dong tai jian ce xi tong. Ke xue chu ban she, 2010.

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Book chapters on the topic "Motion detector"

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Andrews, Meade, and Jana Tift. "Your Motion Detector." In Your Body Knows. Routledge, 2020. http://dx.doi.org/10.4324/9780429330568-1.

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Su, Jia, Xin Wei, Xiaocong Jin, and Takeshi Ikenaga. "Multi Objective Optimization Based Fast Motion Detector." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17832-0_46.

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Navarro, Sergio, Adolfo López-Méndez, Marcel Alcoverro, and Josep Ramon Casas. "Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter." In Articulated Motion and Deformable Objects. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31567-1_8.

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Hidayat, Egi, Alexander Medvedev, and Karin Nordström. "Identification of the Reichardt Elementary Motion Detector Model." In Signal and Image Analysis for Biomedical and Life Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10984-8_5.

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Mirazimzadeh, Seyed Ali, and Victoria McArthur. "Automatic Page-Turner for Pianists with Wearable Motion Detector." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60117-1_15.

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Bai, Hongliang, Wei Hu, Tao Wang, Xiaofeng Tong, Changping Liu, and Yimin Zhang. "A Novel Sports Video Logo Detector Based on Motion Analysis." In Neural Information Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893257_50.

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Ikeda, Hideaki, and Toru Aonishi. "Performance Comparison of Motion Encoders: Hassenstein–Reichardt and Two-Detector Models." In Neural Information Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70090-8_90.

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Urgela, Stanislav, and Rudolf Janotka. "Measure in motion vehicle detector on the motorways, expressways and the roads of Slovakia." In International Conference on Heavy Vehicles HVParis 2008. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118623305.ch5.

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Frühwirth, Rudolf, and Are Strandlie. "Track Models." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_4.

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AbstractThe chapter shows how the equations of motion for charged particles in a homogeneous or inhomogeneous magnetic field are solved. Various types of parametrizations are presented, and formulas for track propagation and error propagation are derived. As the effects of the detector material on the trajectory have to be taken into account, the statistical properties of multiple Coulomb scattering, energy loss by ionization, and energy loss by bremsstrahlung are discussed; then it is shown how the effects can be treated in the track reconstruction. As multiple scattering in thin layers and energy loss by bremsstrahlung have distinctive non-Gaussian features, an approximation by normal mixtures is presented.
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Chen, Mingqing, Yefeng Zheng, Yang Wang, Kerstin Mueller, and Guenter Lauritsch. "Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40760-4_12.

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Conference papers on the topic "Motion detector"

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Richardson, C. K. "A motion powered mine detector." In Second International Conference on Detection of Abandoned Land Mines. IEE, 1998. http://dx.doi.org/10.1049/cp:19980728.

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Wren, Christopher R., Yuri A. Ivanov, Darren Leigh, and Jonathan Westhues. "The MERL motion detector dataset." In the 2007 workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1352922.1352926.

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Teo, Adrian, Young-Jin Kim, Holden King-Ho Li, and Yong-Jin Yoon. "Highly sensitive optical motion detector." In 2016 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP). IEEE, 2016. http://dx.doi.org/10.1109/dtip.2016.7514885.

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Li, Xin, Hong Tang, Guobiao Hu, and Junrui Liang. "Live Demo of A Transient-Motion-Powered Human Motion Detector." In 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2021. http://dx.doi.org/10.1109/iscas51556.2021.9401537.

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Kannadasan, R., N. Prabakaran, S. Rajkumar, and Rishin Haldar. "Web Camera Based Motion Detector Application." In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2018. http://dx.doi.org/10.1109/icoei.2018.8553798.

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Ganguli, Samit, and Rishu Chaujar. "Novelautonomous surveillance system cum motion detector." In 2014 International Conference on Computing for Sustainable Global Development (INDIACom). IEEE, 2014. http://dx.doi.org/10.1109/indiacom.2014.6828028.

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Hong, Inki, Judson Jones, James Hamill, Christian Michel, and Michael Casey. "Elastic motion correction for continuous bed motion whole-body PET/CT." In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069587.

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Albiol, Antonio, C. Sandoval, Alberto Albiol, V. Naranjo, and J. M. Mossi. "Robust motion detector for video surveillance applications." In Proceedings of International Conference on Image Processing. IEEE, 2003. http://dx.doi.org/10.1109/icip.2003.1246696.

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Henry, David, Yidi Yao, Roger Fulton, and Andre Kyme. "An Optimized Feature Detector for Markerless Motion Tracking in Motion-Compensated Neuroimaging." In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2017. http://dx.doi.org/10.1109/nssmic.2017.8532865.

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Kyme, Andre Z., Julian Maclaren, Murat Aksoy, and Roland Bammer. "Feasibility of Marker-Free Motion Tracking for Motion-Corrected MRI and PET-MRI." In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069629.

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Reports on the topic "Motion detector"

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Levinson, S. J., and Stephan Bless. A Simple Transverse Motion Detector for Railguns. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada419772.

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Schafer, Donald. LUSI CXI Detector Stage #1 Alignment and Motion. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1004923.

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Jennings, Brian A. Developing a simulation tool for evaluating in-motion detector systems. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1484611.

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O'Carroll, David. Motion Adaptation, its Role in Motion Detection Under Natural Image Conditions and Target Detection. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada451630.

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Chan, C. W. Motion Detection Using Mean Normalized Temporal Variance. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15004553.

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Shoemaker, Patrick, and David O'Carroll. Insect Small-Target Motion Detection for Seeker Applications. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada418203.

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Davis, Larry, and Ross Cutler. Real-Time Periodic Motion Detection, Analysis and Application. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada391942.

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Matsumoto, David, Hyisung C. Hwang, Adam M. Fullenkamp, and C. M. Laurent. Human Deception Detection from Whole Body Motion Analysis. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada626755.

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Chan, C. W. Edge Detection to Isolate Motion in Adaptive Optics Systems. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15004551.

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SMALL, DANIEL E., JASON P. LUCK, and JEFFREY J. CARLSON. Volumetric Video Motion Detection for Unobtrusive Human-Computer Interaction. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/800789.

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