Motion detection

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Motion can be detected by measuring change in speed or vector of an object or objects in the field of view. (Wikipedia.org)






Conferences related to Motion detection

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

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.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    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 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 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.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    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 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    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 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    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 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    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 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Motion detection

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Automatic Control, IEEE Transactions on

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 ...


Biomedical Engineering, IEEE Transactions on

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.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems for Video Technology, IEEE Transactions on

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-- ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Motion detection

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Xplore Articles related to Motion detection

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Microwave Based Sensors, Technology And Applications

Electro International, 1991, 1991

None


Implementation of Visual Motion Detection in Analog “Neuromorphic” Circuitry—A Case Study of the Issue of Circuit Precision

Proceedings of the IEEE, 2014

Many animals rely on visual motion to infer their relation to the surrounding environment while moving around in it. Motion processing in biological nervous systems, particularly in the insects, has been a subject of active research for over 50 years. With the advent of interest in “neuromorphic” integrated circuits in the late 1980s, this mode of sensory processing has also ...


A Noise-insensitive Motion Detector

IEEE 1992 International Conference on Consumer Electronics Digest of Technical Papers, 1992

None


A fully-integrated motion detector

1978 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1978

The development of a fully-integrated motion detector will be reported, citing its operation over 3 decades of ambient lighting. Detector combines a photodiode, both linear and I<sup>2</sup>L digital circuitry and class D outputs for driving both visual and audible alarms.


Image Feature Based Smoke Recognition in Mines Using Monocular Camera Mounted on Aerial Vehicles

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT), 2017

Fire and smoke are common sight at mines and could be catastrophic for humans working there. Our paper focuses on an alert mechanism that is built based on detection and validation of smoke from mines. We propose a computer vision based model that is robust enough to detect presence of smoke and the direction of motion of smoke. This research ...


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Educational Resources on Motion detection

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IEEE.tv Videos

Robot Motion Optimization
Welcome to ICRA 2015: Robot Challenges
Optimization for Robust Motion Planning and Control
Experience ICRA 2015: Robot Challenges
Mayo Clinic Motion Lab
Tracked Vehicle with Circular Cross-Section to Realize Sideways Motion
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
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
An FPGA-Quantum Annealer Hybrid System for Wide-Band RF Detection - IEEE Rebooting Computing 2017
Multi-Function VCO Chip for Materials Sensing and More - Jens Reinstaedt - RFIC Showcase 2018
Large Motion Range Magnet Levitation Using a Planar Array of Coils
Robotics History: Narratives and Networks Oral Histories: John Graig
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
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: Matt Mason
Control of a Fully-Actuated Airship for Satellite Emulation
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018

IEEE-USA E-Books

  • Microwave Based Sensors, Technology And Applications

    None

  • Implementation of Visual Motion Detection in Analog “Neuromorphic” Circuitry—A Case Study of the Issue of Circuit Precision

    Many animals rely on visual motion to infer their relation to the surrounding environment while moving around in it. Motion processing in biological nervous systems, particularly in the insects, has been a subject of active research for over 50 years. With the advent of interest in “neuromorphic” integrated circuits in the late 1980s, this mode of sensory processing has also been the subject of various analog silicon modeling efforts. The author discusses the background of certain models for motion detection in insects, and then the implementation of a particular model in analog integrated circuitry. The paper does not focus on such circuits themselves, however, but on the issue of computational precision in the analog domain: it is argued that insufficient attention to this issue has been an impediment to the development of neuromorphic circuits that are practically useful in engineering applications. A statistical approach is described for assessing one of the designs discussed herein, and the degradation of its performance due to variations in the electrical properties of its constituent devices, with an eye toward suitability for application in autonomous robotics. This approach relies on tools and models routinely used in conventional analog/mixed signal design. The author argues that adoption of such techniques, along with a deeper consideration of computational precision, i.e., a shift in the neuromorphic design philosophy, would be an important step in moving the field forward.

  • A Noise-insensitive Motion Detector

    None

  • A fully-integrated motion detector

    The development of a fully-integrated motion detector will be reported, citing its operation over 3 decades of ambient lighting. Detector combines a photodiode, both linear and I<sup>2</sup>L digital circuitry and class D outputs for driving both visual and audible alarms.

  • Image Feature Based Smoke Recognition in Mines Using Monocular Camera Mounted on Aerial Vehicles

    Fire and smoke are common sight at mines and could be catastrophic for humans working there. Our paper focuses on an alert mechanism that is built based on detection and validation of smoke from mines. We propose a computer vision based model that is robust enough to detect presence of smoke and the direction of motion of smoke. This research paper proposes a smoke detection model integrated with Unmanned Aerial Vehicle (UAV). The model focuses on smoke detection that leads to early detection of fire. The model works on the basis of image processing. The distinguishing feature of our model is the dynamic and real time processing. Here the system tracks the dynamic environment in the mining areas using UAVs featured with cameras. The real time captured video frames are calibrated to overcome distortion considering the radial and tangential factors. The calibrated frame thus obtained is further processed to get the Region of Interest (ROI) based on the spatial Hue Saturation Value (HSV) colouring model. Each pixel of the frame is then compared with colour range of smoke using opencv functions. The matched ROI is de-noised using Non-local means De-nosing algorithm to avoid unnecessary colours. These filtered frames are then processed concurrently to identify the pattern of change in motion. Based on this pattern the ROI is classified as either smoke or no smoke. With the analysis of turbulence in each pixel the intensity of smoke is detected. The experiment is conducted with-1) Prerecorded smoke video clippings. 2) Real time video captured in the camera. The results turned out to be positive in both the test cases. So, the model works quite efficiently with both recorded and real time video.

  • Detection of angular difference by acoustic wave sensor used in AGV system

    The authors describe novel sensors for the follow-up control of an automatic guided vehicle (AGV). In the running control system, two kinds of novel acoustic sensors for detecting the angular difference between the direction of motion of the forward running vehicle and that of the following vehicle are examined. The operating characteristics of the novel acoustic sensors are presented. One sensor is a 40 kHz ultrasonic wave sensor, while the other is an audible range sensor operating at a frequency of 1 kHz.<<ETX>>

  • Real time notch based face detection, tracking and facial feature localization

    This research paper deals with the real time implementation of face detection, tracking and facial feature localization in video sequence that is invariant to scale, translation, and (plusmn45) rotation transformation. The proposed system contains two parts, visual guidance and face/non-face classification. The visual guidance phase detects the skin region using the cue present in monocular video (motion and color). Fusion of motion and color cues is done to classify skin color. The classified skin color is passed to morphological operations (recurring erosion and dilation) to remove the noise and holes from the classified skin regions. The contiguous regions are extracted using union- structure component labeling algorithm and scale normalization is applied by nearest neighbor interpolation method. Using the aspect ratio of width and height size, region of interest (ROI) is obtained and then passed to face/non- face classifier. Notch (Gaussian) based templates are used to find circular darker regions in ROI keeping the fact in view that face texture is coarser in nature due to eyes, lips and nostril darker portions. Various size of notch based templates are matched with ROI using normalized cross correlation (NCC), to get matching score (for the classification of input region as face/non- face). The visual guidance reduces the search space and helps to detect and track skin region whereas each region is categorized as face/non-face using face/non-face classifier. The classified face region is handed over to facial feature localization phase, which uses YCbCr eyes/lips mask for face feature localization

  • Motion adaptive search for fast motion estimation

    The paper presents motion adaptive search (MAS), that effectively utilizes motion activity information to achieve superior performance both in terms of quality and speed in comparison with other fast search algorithms for motion estimation. The main features of MAS are: the early elimination of search by detecting the stationary macroblocks; the adaptation of both the search window size and the search strategy based on motion activity information; the minimization of overlap of search points by performing intelligent search.

  • 3D motion detection and estimation using optic flow computation

    In this paper with the aid of the combination of Ducan-Tsai and Singh methods, we have carried out preprocessing on image sequences, I (x,y,t), to obtain St(x,y,t) and from that extracting the conservation and neighbourhood information for the estimation of 2D motion. Also we have proposed relations between 2D and 3D motions regarding objects with only translational motion.

  • Detection of a particular object from motion images under bad condition

    This paper deals with the detection of the rescue target as a particular object from motion images under bad conditions. When shipwrecks occur, the search activities of rescue are done using an airplane. The detection of the rescue target such as a life raft depends on visual search of human eyes. To detect a small rescue target in the wide sea, the searcher man must monitor motion sights in nasty weather. In order to carry out the prompt rescue of human life, development of searching support system using image processing techniques in place of the human eye is required It is very difficult to process the motion images taken by the airplane, because these images are inferior due to shaking of the airplane, sunshine reflections and crest waves under bad conditions. We make a simulation experiment for detection of the rescue target from images. To get basic design data for development of the searching system in the case of a marine casualty, we propose motion image processing techniques using improved S/N ratio and dynamic range of the image data of the rescue target in the motion images under bad conditions.



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