Motion detection

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 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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 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


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.



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



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 ...



Educational Resources on Motion detection

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IEEE.tv Videos

Robot Motion Optimization
Optimization for Robust Motion Planning and Control
Welcome to ICRA 2015: Robot Challenges
Experience ICRA 2015: Robot Challenges
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
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
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
Large Motion Range Magnet Levitation Using a Planar Array of Coils
Multi-Function VCO Chip for Materials Sensing and More - Jens Reinstaedt - RFIC Showcase 2018
Robotics History: Narratives and Networks Oral Histories: Jean-Paul Laumond
Quick Slip-Turn of HRP-4C on Its Toes
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
Robotics History: Narratives and Networks Oral Histories: John Graig
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
Critical use cases for video capturing systems in autonomous driving applications

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.



Standards related to Motion detection

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No standards are currently tagged "Motion detection"