11,993 resources related to Motion estimation
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ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
LASCAS aims at presenting a high-quality forum for researchers, designers, developers and graduate students to present the advances of their work on circuits and systems, amidst an international audience with experts from academia and industry all over the world. The LASCAS 2020 symposium will cover novel technical developments in all the areas of the Circuits and Systems Society, but focusing in the areas of biomedical and implantable devices and applications, low power integrated circuits, high speed communication interfaces and circuits and systems design for renewable energy applications.
AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
In this paper an approach for scalable video coding is described, based on the hybrid coding scheme. The scalability is achieved by decomposing the frames to be coded into a resolution pyramid. Motion estimation and compensation is performed at each level. The focus of the paper is to design motion estimation and compensation such, that the resulting pyramid of vector ...
EUSAR 2012; 9th European Conference on Synthetic Aperture Radar, 2012
A synthetic aperture sonar (SAS) typically consists of a directional transmitter and two vertically displaced receiving arrays, placed in a rigid frame. Many receivers permit an adequate area coverage rate and partly solve motion estimation issues. SAS motion estimation is crucial for image quality and is partly accomplished by using the ping-to-ping correlation obtained from overlapping elements. SAS gain depends ...
International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., 1988
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
Motion estimation is a very important topic in computer vision and image sequence compression. However, most commonly used motion estimation algorithms do not take into consideration any motion invariances that a certain local motion might possess. In this paper, a technique for estimating the invariant motion parameters of non-translational motion fields is proposed, which leads to more efficient estimation, smoothing ...
IEEE Transactions on Image Processing, 2000
ICRA 2020 Keynote - Compliant Whole-body Control for Real-World Interactions
Robot Motion Optimization
Optimization for Robust Motion Planning and Control
2nd Workshop on Long-Term Human Motion Prediction - ICRA 2020
Mayo Clinic Motion Lab
Tracked Vehicle with Circular Cross-Section to Realize Sideways Motion
Capture, Recognition, and Imitation of Anthropomorphic Motion
Mapping Human to Robot Motion with Functional Anthropomorphism for Teleoperation and Telemanipulation with Robot Arm Hand Systems
History of Robotics and Automation: Anthropomorphic Motion with Jean Paul Laumond
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
Large Motion Range Magnet Levitation Using a Planar Array of Coils
Quick Slip-Turn of HRP-4C on Its Toes
Robotics History: Narratives and Networks Oral Histories: Jean-Paul Laumond
Robotics History: Narratives and Networks Oral Histories: John Graig
Surgical Robotics: Compensation of physiological motion for enhanced surgical accuracy
Signal Processing on Manifolds
Robotics History: Narratives and Networks Oral Histories: Matt Mason
Control of a Fully-Actuated Airship for Satellite Emulation
Planning in Robotics and Beyond - ICRA 2020
In this paper an approach for scalable video coding is described, based on the hybrid coding scheme. The scalability is achieved by decomposing the frames to be coded into a resolution pyramid. Motion estimation and compensation is performed at each level. The focus of the paper is to design motion estimation and compensation such, that the resulting pyramid of vector fields as well as the pyramid of prediction errors can be coded in an efficient fashion.
A synthetic aperture sonar (SAS) typically consists of a directional transmitter and two vertically displaced receiving arrays, placed in a rigid frame. Many receivers permit an adequate area coverage rate and partly solve motion estimation issues. SAS motion estimation is crucial for image quality and is partly accomplished by using the ping-to-ping correlation obtained from overlapping elements. SAS gain depends on this ping-to-ping correlation. In this paper, theoretical impact of motion estimation accuracy and geometry on the SAS gain are formulated. Also, array gain is investigated using real data collected at sea with NURC's SAS.
Motion estimation is a very important topic in computer vision and image sequence compression. However, most commonly used motion estimation algorithms do not take into consideration any motion invariances that a certain local motion might possess. In this paper, a technique for estimating the invariant motion parameters of non-translational motion fields is proposed, which leads to more efficient estimation, smoothing or coding of the motion field. It is shown that the algorithm performs well, even in high noise levels, i.e., in the case of noisy output of the motion estimator.
This chapter contains sections titled:IntroductionMVC Encoder Complexity Reduction using a Multi‐grid Pyramidal ApproachInter‐view Prediction using Reconstructed Disparity InformationMulti‐view Coding via Virtual View GenerationLow‐delay Random View Access in Multi‐view Coding Using a Bit Rate‐adaptive Downsampling ApproachReferences
SAR coherence can be exploited for applications of repeated surveys like digital elevation map generation, improvement of ground range resolution, measurement of small changes of the terrain. Results of the Bonn experiment are presented. The main goal of the experiment was the validation of differential interferometry technique for small terrain motions estimation. However, many other interesting results, a few of them not yet interpreted, have been obtained.<<ETX>>
The major inhibitors of rapid access to online video data are costs and management of capture and storage, lack of high-speed real-time delivery and non-availability of content and context based intelligent search and indexing techniques. The solutions for capture, storage and delivery maybe on the horizon, however the lack of visual content based indexing of video and image information may still inhibit as widespread a use of this information modality as that of text or tabular data is currently. We present techniques for compact visual representation of video data that will be useful for visual content based presentation and indexing. Video data comes in torrents-almost a megabyte every 30th of a second-but also affords the exploitation of relatively smoothly changing information over time. The techniques presented exploit the motion information across video frames to represent the underlying scene in a compact visual form as it is seen across many slowly varying frames in a video. Two classes of techniques are presented: (i) dominant motion estimation based techniques which exploit a fairly common occurrence in videos that a mostly fixed background (scene) is imaged with or without independently moving objects, and (ii) simultaneous multiple motion estimation and representation of motion video using layered representations.
During the development and testing of navigation systems for modern cars, the video streams of the systems-under-test are carefully observed for errors of any kind. While this observation is typically carried out manually by software engineers monitoring the video output, the complexity and variety of the latest navigation systems demand an automated analysis of system functionality. Recently published work on automated error detection for navigation systems  can only enfold its full functionality if video sequences can be recorded and compressed in real-time, so that the full test program can be run under lab conditions after recording. However, the rotational motion of these sequences makes efficient compression a difficult task. In this paper, we present a fast and efficient method for rotation estimation, so that rotational motion compensation and thus efficient encoding can take place. Compared to existing state of the art approaches for SIFT- or SURF-based global motion estimation, our scheme requires 1/16th of the original processing time while providing almost identical quality gains of up to 2.5dB.
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