Academic literature on the topic 'Motion Estimation'
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Journal articles on the topic "Motion Estimation"
Qin, Yongming, Makoto Kumon, and Tomonari Furukawa. "Estimation of a Human-Maneuvered Target Incorporating Human Intention." Sensors 21, no. 16 (August 6, 2021): 5316. http://dx.doi.org/10.3390/s21165316.
Full textChoi, Hee-Eun, and Jung-Il Jun. "Development of an Estimation Formula to Evaluate Mission Motion Suitability of Military Jackets." Applied Sciences 11, no. 19 (September 30, 2021): 9129. http://dx.doi.org/10.3390/app11199129.
Full textLi, Jiaman, C. Karen Liu, and Jiajun Wu. "Ego-Body Pose Estimation via Ego-Head Pose Estimation." AI Matters 9, no. 2 (June 2023): 20–23. http://dx.doi.org/10.1145/3609468.3609473.
Full textWang, Kaihong, Kumar Akash, and 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, no. 3 (June 28, 2022): 2477–86. http://dx.doi.org/10.1609/aaai.v36i3.20148.
Full textSchutten, R. J., A. Pelagotti, and G. De Haan. "Layered motion estimation." Philips Journal of Research 51, no. 2 (January 1998): 253–67. http://dx.doi.org/10.1016/s0165-5817(98)00010-2.
Full textPopescu, Mihaela, Dennis Mronga, Ivan Bergonzani, Shivesh Kumar, and Frank Kirchner. "Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot." Sensors 22, no. 24 (December 15, 2022): 9853. http://dx.doi.org/10.3390/s22249853.
Full textPhan, Gia-Hoang, Clint Hansen, Paolo Tommasino, Asif Hussain, Domenico Formica, and Domenico Campolo. "A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking." Sensors 20, no. 20 (October 16, 2020): 5864. http://dx.doi.org/10.3390/s20205864.
Full textOzawa, Takehiro, Yusuke Sekikawa, and Hideo Saito. "Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird’s-Eye View Transformation." Sensors 22, no. 3 (January 20, 2022): 773. http://dx.doi.org/10.3390/s22030773.
Full textKlomp, Sven, Marco Munderloh, and Jörn Ostermann. "Decoder-Side Motion Estimation Assuming Temporally or Spatially Constant Motion." ISRN Signal Processing 2011 (June 20, 2011): 1–10. http://dx.doi.org/10.5402/2011/956372.
Full textChen, Yi Wei, and Yung Lung Lee. "An Improved IMM Estimator Combined with Intelligent Input Estimation Technique for Tracking Maneuvering Target." Applied Mechanics and Materials 764-765 (May 2015): 664–70. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.664.
Full textDissertations / Theses on the topic "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.
Full textJaganathan, Venkata Krishnan. "Robust motion estimation techniques." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/6032.
Full textThe 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.
Full textRekleitis, 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.
Full textAy, 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.
Full textFör 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/.
Full textFakhouri, 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.
Full textMok, Wai-hung Toby, and 莫偉雄. "Motion estimation in feature domain." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223230.
Full textZayas-Cedeño, Gricelis 1974. "Motion estimation of cloud images." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50035.
Full textIncludes 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.
Full textIncludes 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.
Books on the topic "Motion Estimation"
Goh, Wooi Boon. Image motion estimation. [s.l.]: typescript, 1992.
Find full textChakrabarti, Indrajit, Kota Naga Srinivasarao Batta, and Sumit Kumar Chatterjee. Motion Estimation for Video Coding. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14376-7.
Full textOng, Ee Ping. Robust motion estimation and segmentation. Birmingham: University of Birmingham, 1997.
Find full textFurht, Borko, Joshua Greenberg, and Raymond Westwater. Motion Estimation Algorithms for Video Compression. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6241-2.
Full textFurht, Borivoje. Motion estimation algorithms for video compression. Boston: Kluwer Academic Publishers, 1997.
Find full textFurht, Borko. Motion estimation algorithms for video compression. Boston, Mass: Kluwer, 1997.
Find full textFurht, Borivoje. Motion Estimation Algorithms for Video Compression. Boston, MA: Springer US, 1997.
Find full textMetkar, Shilpa, and Sanjay Talbar. Motion Estimation Techniques for Digital Video Coding. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1097-9.
Full textIldiz, Faith. Estimation of motion parameters from image sequences. Monterey, Calif: Naval Postgraduate School, 1991.
Find full textMetkar, Shilpa. Motion Estimation Techniques for Digital Video Coding. India: Springer India, 2013.
Find full textBook chapters on the topic "Motion Estimation"
Gigengack, Fabian, Xiaoyi Jiang, Mohammad Dawood, and Klaus P. Schäfers. "Motion Estimation." In 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.
Full textCuevas, Erik, Valentín Osuna, and Diego Oliva. "Motion Estimation." In 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.
Full textMitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall. "Motion estimation." In MPEG Video Compression Standard, 283–312. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-4587-7_13.
Full textDe Oliveira, Jauvane C. "Motion Estimation." In Encyclopedia of Multimedia, 435–40. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_115.
Full textMitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall. "Motion estimation." In MPEG Video Compression Standard, 283–312. New York, NY: Springer US, 1996. http://dx.doi.org/10.1007/0-306-46983-9_13.
Full textSzeliski, Richard. "Motion Estimation." In Texts in Computer Science, 443–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-34372-9_9.
Full textTschumperlé, David, Christophe Tilmant, and Vincent Barra. "Motion Estimation." In Digital Image Processing with C++, 183–208. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003323693-8.
Full textLin, Youn-Long Steve, Chao-Yang Kao, Huang-Chih Kuo, and Jian-Wen Chen. "Integer Motion Estimation." In VLSI Design for Video Coding, 31–55. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0959-6_3.
Full textLin, Youn-Long Steve, Chao-Yang Kao, Huang-Chih Kuo, and Jian-Wen Chen. "Fractional Motion Estimation." In VLSI Design for Video Coding, 57–72. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0959-6_4.
Full textSzeliski, Richard. "Dense motion estimation." In Texts in Computer Science, 335–74. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-935-0_8.
Full textConference papers on the topic "Motion Estimation"
Rajala, S. A., I. M. Abdelqadar, G. L. Bilbro, and W. E. Snyder. "Motion estimation optimization." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226203.
Full textBoltz, Sylvain, and Frank Nielsen. "Randomized motion estimation." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5652514.
Full textIllgner, Klaus, Werner Praefcke, and Frank Mueller. "Multiresolution motion estimation." In Electronic Imaging: Science & Technology, edited by Robert L. Stevenson and M. Ibrahim Sezan. SPIE, 1996. http://dx.doi.org/10.1117/12.234738.
Full textNalasani, Mahesh, W. David Pan, and Seong-Moo Yoo. "Motion estimation with integrated motion models." In the 42nd annual Southeast regional conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/986537.986653.
Full textLiu Jin, Liu Jin, Ai Xiaofeng Ai Xiaofeng, Zhao Feng Zhao Feng, and Wu Qihua Wu Qihua. "Motion estimation of micro-motion targets with translational motion." In IET International Radar Conference 2015. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.1435.
Full textLei, Meng, and Li Hang. "Motion Estimation Algorithm Based on Motion Characteristics." In 2009 WASE International Conference on Information Engineering (ICIE). IEEE, 2009. http://dx.doi.org/10.1109/icie.2009.40.
Full textBaytas, Inci M., and Bilge Gunsel. "Head motion classification with 2D motion estimation." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830231.
Full textSun, Shijun, and Shawmin Lei. "Predictive motion estimation with global motion predictor." In Electronic Imaging 2004, edited by Sethuraman Panchanathan and Bhaskaran Vasudev. SPIE, 2004. http://dx.doi.org/10.1117/12.525114.
Full textZhao, Yaxiang, Xiaoping Fan, and Shaoqiang Liu. "Global motion estimation combining with motion segmentation." In Fifth International Conference on Digital Image Processing, edited by Yulin Wang and Xie Yi. SPIE, 2013. http://dx.doi.org/10.1117/12.2030893.
Full textLei, Liu, Wang Zhiliang, Liu Jiwei, and Cui Zhaohui. "Fast Global Motion Estimation." In Multimedia Technology (IC-BNMT). IEEE, 2009. http://dx.doi.org/10.1109/icbnmt.2009.5348470.
Full textReports on the topic "Motion Estimation"
Koc, Ut-Va, and K. J. Liu. DCT-Based Motion Estimation. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada452980.
Full textGharavi, H., and 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.
Full textAlon, Jonathan, and Stan Sclaroff. Recursive Estimation of Motion and Planer Structure. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada451473.
Full textKoc, Ut-Va, and K. J. Liu. Exact Subpixel Motion Estimation in DCT Domain. Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada455590.
Full textMcCallen, D., and S. Larsen. Nevada - A Simulation Environment for Regional Estimation of Ground Motion and Structural Response. Office of Scientific and Technical Information (OSTI), March 2003. http://dx.doi.org/10.2172/15004876.
Full textTurner, Daniel Z. An overview of the gradient-based local DIC formulation for motion estimation in DICe. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1561808.
Full textMojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, December 2019. http://dx.doi.org/10.55461/rynq3624.
Full textKoschmann, Anthony, and 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, August 2020. http://dx.doi.org/10.3386/w27649.
Full textGray, A. L., K. E. Mattar, P. W. Vachon, R. Bindschadler, K. C. Jezek, R. Forster, and 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.
Full textSoumekh, 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, September 1997. http://dx.doi.org/10.21236/ada329234.
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