Gotowa bibliografia na temat „Motion Estimation”
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Artykuły w czasopismach na temat "Motion Estimation"
Qin, Yongming, Makoto Kumon i Tomonari Furukawa. "Estimation of a Human-Maneuvered Target Incorporating Human Intention". Sensors 21, nr 16 (6.08.2021): 5316. http://dx.doi.org/10.3390/s21165316.
Pełny tekst źródłaChoi, Hee-Eun, i Jung-Il Jun. "Development of an Estimation Formula to Evaluate Mission Motion Suitability of Military Jackets". Applied Sciences 11, nr 19 (30.09.2021): 9129. http://dx.doi.org/10.3390/app11199129.
Pełny tekst źródłaLi, Jiaman, C. Karen Liu i Jiajun Wu. "Ego-Body Pose Estimation via Ego-Head Pose Estimation". AI Matters 9, nr 2 (czerwiec 2023): 20–23. http://dx.doi.org/10.1145/3609468.3609473.
Pełny tekst źródłaWang, Kaihong, Kumar Akash i Teruhisa Misu. "Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 3 (28.06.2022): 2477–86. http://dx.doi.org/10.1609/aaai.v36i3.20148.
Pełny tekst źródłaSchutten, R. J., A. Pelagotti i G. De Haan. "Layered motion estimation". Philips Journal of Research 51, nr 2 (styczeń 1998): 253–67. http://dx.doi.org/10.1016/s0165-5817(98)00010-2.
Pełny tekst źródłaPopescu, Mihaela, Dennis Mronga, Ivan Bergonzani, Shivesh Kumar i Frank Kirchner. "Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot". Sensors 22, nr 24 (15.12.2022): 9853. http://dx.doi.org/10.3390/s22249853.
Pełny tekst źródłaPhan, Gia-Hoang, Clint Hansen, Paolo Tommasino, Asif Hussain, Domenico Formica i Domenico Campolo. "A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking". Sensors 20, nr 20 (16.10.2020): 5864. http://dx.doi.org/10.3390/s20205864.
Pełny tekst źródłaOzawa, Takehiro, Yusuke Sekikawa i Hideo Saito. "Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird’s-Eye View Transformation". Sensors 22, nr 3 (20.01.2022): 773. http://dx.doi.org/10.3390/s22030773.
Pełny tekst źródłaKlomp, Sven, Marco Munderloh i Jörn Ostermann. "Decoder-Side Motion Estimation Assuming Temporally or Spatially Constant Motion". ISRN Signal Processing 2011 (20.06.2011): 1–10. http://dx.doi.org/10.5402/2011/956372.
Pełny tekst źródłaChen, Yi Wei, i Yung Lung Lee. "An Improved IMM Estimator Combined with Intelligent Input Estimation Technique for Tracking Maneuvering Target". Applied Mechanics and Materials 764-765 (maj 2015): 664–70. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.664.
Pełny tekst źródłaRozprawy doktorskie na temat "Motion Estimation"
Cheng, Xin. "Feature-based motion estimation and motion segmentation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/MQ55493.pdf.
Pełny tekst źródłaJaganathan, Venkata Krishnan. "Robust motion estimation techniques". Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/6032.
Pełny tekst źródłaThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 15, 2008) Includes bibliographical references.
Rekleitis, Ioannis. "Visual motion estimation based on motion blur interpretation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ44103.pdf.
Pełny tekst źródłaRekleitis, Ioannis. "Visual motion estimation based on motion blur interpretation". Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=20154.
Pełny tekst źródłaAy, Emre. "Ego-Motion Estimation of Drones". Thesis, KTH, Robotik, perception och lärande, RPL, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210772.
Pełny tekst źródłaFör att avlägsna behovet av extern infrastruktur så som GPS, som dessutominte är tillgänglig i många miljöer, är det önskvärt att uppskatta en drönares rörelse med sensor ombord. Visuella positioneringssystem har studerats under lång tid och litteraturen på området är ymnig. Syftet med detta projekt är att undersöka de för närvarande tillgängliga metodernaoch designa ett visuellt baserat positioneringssystem för drönare. Det resulterande systemet utvärderas och visas ge acceptabla positionsuppskattningar.
Wu, Siu Fan. "General motion estimation and segmentation". Thesis, University of Surrey, 1990. http://epubs.surrey.ac.uk/843155/.
Pełny tekst źródłaFakhouri, Elie Michel. "Variable block-size motion estimation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ37260.pdf.
Pełny tekst źródłaMok, Wai-hung Toby, i 莫偉雄. "Motion estimation in feature domain". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223230.
Pełny tekst źródłaZayas-Cedeño, Gricelis 1974. "Motion estimation of cloud images". Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50035.
Pełny tekst źródłaIncludes bibliographical references (leaves 63-64).
by Gricelis Zayas-Cedeño.
M.S.
Weiss, Yair. "Bayesian motion estimation and segmentation". Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9354.
Pełny tekst źródłaIncludes bibliographical references (leaves 195-204).
Estimating motion in scenes containing multiple moving objects remains a difficult problem in computer vision yet is solved effortlessly by humans. In this thesis we present a computational investigation of this astonishing performance in human vision. The method we use throughout is to formulate a small number of assumptions and see the extent to which the optimal interpretation given these assumptions corresponds to the human percept. For scenes containing a single motion we show that a wide range of previously published results are predicted by a Bayesian model that finds the most probable velocity field assuming that (1) images may be noisy and (2) velocity fields are likely to be slow and smooth. The predictions agree qualitatively, and are often in remarkable agreement quantitatively. For scenes containing multiple motions we introduce the notion of "smoothness in layers". The scene is assumed to be composed of a small number of surfaces or layers, and the motion of each layer is assumed to be slow and smooth. We again formalize these assumptions in a Bayesian framework and use the statistical technique of mixture estimation to find the predicted a surprisingly wide range of previously published results that are predicted with these simple assumptions. We discuss the shortcomings of these assumptions and show how additional assumptions can be incorporated into the same framework. Taken together, the first two parts of the thesis suggest that a seemingly complex set of illusions in human motion perception may arise from a single computational strategy that is optimal under reasonable assumptions.
(cont.) The third part of the thesis presents a computer vision algorithm that is based on the same assumptions. We compare the approach to recent developments in motion segmentation and illustrate its performance on real and synthetic image sequences.
by Yair Weiss.
Ph.D.
Książki na temat "Motion Estimation"
Goh, Wooi Boon. Image motion estimation. [s.l.]: typescript, 1992.
Znajdź pełny tekst źródłaChakrabarti, Indrajit, Kota Naga Srinivasarao Batta i Sumit Kumar Chatterjee. Motion Estimation for Video Coding. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14376-7.
Pełny tekst źródłaOng, Ee Ping. Robust motion estimation and segmentation. Birmingham: University of Birmingham, 1997.
Znajdź pełny tekst źródłaFurht, Borko, Joshua Greenberg i Raymond Westwater. Motion Estimation Algorithms for Video Compression. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6241-2.
Pełny tekst źródłaFurht, Borivoje. Motion estimation algorithms for video compression. Boston: Kluwer Academic Publishers, 1997.
Znajdź pełny tekst źródłaFurht, Borko. Motion estimation algorithms for video compression. Boston, Mass: Kluwer, 1997.
Znajdź pełny tekst źródłaFurht, Borivoje. Motion Estimation Algorithms for Video Compression. Boston, MA: Springer US, 1997.
Znajdź pełny tekst źródłaMetkar, Shilpa, i Sanjay Talbar. Motion Estimation Techniques for Digital Video Coding. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1097-9.
Pełny tekst źródłaIldiz, Faith. Estimation of motion parameters from image sequences. Monterey, Calif: Naval Postgraduate School, 1991.
Znajdź pełny tekst źródłaMetkar, Shilpa. Motion Estimation Techniques for Digital Video Coding. India: Springer India, 2013.
Znajdź pełny tekst źródłaCzęści książek na temat "Motion Estimation"
Gigengack, Fabian, Xiaoyi Jiang, Mohammad Dawood i Klaus P. Schäfers. "Motion Estimation". W SpringerBriefs in Electrical and Computer Engineering, 21–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08392-6_2.
Pełny tekst źródłaCuevas, Erik, Valentín Osuna i Diego Oliva. "Motion Estimation". W Evolutionary Computation Techniques: A Comparative Perspective, 95–116. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51109-2_5.
Pełny tekst źródłaMitchell, Joan L., William B. Pennebaker, Chad E. Fogg i Didier J. LeGall. "Motion estimation". W MPEG Video Compression Standard, 283–312. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-4587-7_13.
Pełny tekst źródłaDe Oliveira, Jauvane C. "Motion Estimation". W Encyclopedia of Multimedia, 435–40. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_115.
Pełny tekst źródłaMitchell, Joan L., William B. Pennebaker, Chad E. Fogg i Didier J. LeGall. "Motion estimation". W MPEG Video Compression Standard, 283–312. New York, NY: Springer US, 1996. http://dx.doi.org/10.1007/0-306-46983-9_13.
Pełny tekst źródłaSzeliski, Richard. "Motion Estimation". W Texts in Computer Science, 443–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-34372-9_9.
Pełny tekst źródłaTschumperlé, David, Christophe Tilmant i Vincent Barra. "Motion Estimation". W Digital Image Processing with C++, 183–208. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003323693-8.
Pełny tekst źródłaLin, Youn-Long Steve, Chao-Yang Kao, Huang-Chih Kuo i Jian-Wen Chen. "Integer Motion Estimation". W VLSI Design for Video Coding, 31–55. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0959-6_3.
Pełny tekst źródłaLin, Youn-Long Steve, Chao-Yang Kao, Huang-Chih Kuo i Jian-Wen Chen. "Fractional Motion Estimation". W VLSI Design for Video Coding, 57–72. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0959-6_4.
Pełny tekst źródłaSzeliski, Richard. "Dense motion estimation". W Texts in Computer Science, 335–74. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-935-0_8.
Pełny tekst źródłaStreszczenia konferencji na temat "Motion Estimation"
Rajala, S. A., I. M. Abdelqadar, G. L. Bilbro i W. E. Snyder. "Motion estimation optimization". W [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226203.
Pełny tekst źródłaBoltz, Sylvain, i Frank Nielsen. "Randomized motion estimation". W 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5652514.
Pełny tekst źródłaIllgner, Klaus, Werner Praefcke i Frank Mueller. "Multiresolution motion estimation". W Electronic Imaging: Science & Technology, redaktorzy Robert L. Stevenson i M. Ibrahim Sezan. SPIE, 1996. http://dx.doi.org/10.1117/12.234738.
Pełny tekst źródłaNalasani, Mahesh, W. David Pan i Seong-Moo Yoo. "Motion estimation with integrated motion models". W the 42nd annual Southeast regional conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/986537.986653.
Pełny tekst źródłaLiu Jin, Liu Jin, Ai Xiaofeng Ai Xiaofeng, Zhao Feng Zhao Feng i Wu Qihua Wu Qihua. "Motion estimation of micro-motion targets with translational motion". W IET International Radar Conference 2015. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.1435.
Pełny tekst źródłaLei, Meng, i Li Hang. "Motion Estimation Algorithm Based on Motion Characteristics". W 2009 WASE International Conference on Information Engineering (ICIE). IEEE, 2009. http://dx.doi.org/10.1109/icie.2009.40.
Pełny tekst źródłaBaytas, Inci M., i Bilge Gunsel. "Head motion classification with 2D motion estimation". W 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830231.
Pełny tekst źródłaSun, Shijun, i Shawmin Lei. "Predictive motion estimation with global motion predictor". W Electronic Imaging 2004, redaktorzy Sethuraman Panchanathan i Bhaskaran Vasudev. SPIE, 2004. http://dx.doi.org/10.1117/12.525114.
Pełny tekst źródłaZhao, Yaxiang, Xiaoping Fan i Shaoqiang Liu. "Global motion estimation combining with motion segmentation". W Fifth International Conference on Digital Image Processing, redaktorzy Yulin Wang i Xie Yi. SPIE, 2013. http://dx.doi.org/10.1117/12.2030893.
Pełny tekst źródłaLei, Liu, Wang Zhiliang, Liu Jiwei i Cui Zhaohui. "Fast Global Motion Estimation". W Multimedia Technology (IC-BNMT). IEEE, 2009. http://dx.doi.org/10.1109/icbnmt.2009.5348470.
Pełny tekst źródłaRaporty organizacyjne na temat "Motion Estimation"
Koc, Ut-Va, i K. J. Liu. DCT-Based Motion Estimation. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1995. http://dx.doi.org/10.21236/ada452980.
Pełny tekst źródłaGharavi, H., i H. Reza-Alikhani. Pel-recursive motion estimation algorithm. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.6822.
Pełny tekst źródłaAlon, Jonathan, i Stan Sclaroff. Recursive Estimation of Motion and Planer Structure. Fort Belvoir, VA: Defense Technical Information Center, marzec 2000. http://dx.doi.org/10.21236/ada451473.
Pełny tekst źródłaKoc, Ut-Va, i K. J. Liu. Exact Subpixel Motion Estimation in DCT Domain. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1996. http://dx.doi.org/10.21236/ada455590.
Pełny tekst źródłaMcCallen, D., i S. Larsen. Nevada - A Simulation Environment for Regional Estimation of Ground Motion and Structural Response. Office of Scientific and Technical Information (OSTI), marzec 2003. http://dx.doi.org/10.2172/15004876.
Pełny tekst źródłaTurner, Daniel Z. An overview of the gradient-based local DIC formulation for motion estimation in DICe. Office of Scientific and Technical Information (OSTI), lipiec 2016. http://dx.doi.org/10.2172/1561808.
Pełny tekst źródłaMojidra, Rushil, i Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, grudzień 2019. http://dx.doi.org/10.55461/rynq3624.
Pełny tekst źródłaKoschmann, Anthony, i Yi Qian. Latent Estimation of Piracy Quality and its Effect on Revenues and Distribution: The Case of Motion Pictures. Cambridge, MA: National Bureau of Economic Research, sierpień 2020. http://dx.doi.org/10.3386/w27649.
Pełny tekst źródłaGray, A. L., K. E. Mattar, P. W. Vachon, R. Bindschadler, K. C. Jezek, R. Forster i J P Crawford. InSAR Results from the RADARSAT Antarctic Mapping Mission Data: Estimation of Glacier Motion Using a Simple Registration Procedure. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219342.
Pełny tekst źródłaSoumekh, Mehrdad. Moving Target Detection and Motion Estimation in Foliage Using along Track Monopulse Synthetic Aperture Radar Imaging and Signal Subspace Processing of Uncalibrated MTD-SARs. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1997. http://dx.doi.org/10.21236/ada329234.
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