Results 21 to 30 of about 6,627,236 (313)
Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools
IEEE Access, 2022 Unhealthy lifestyle causes several chronic diseases in humans. Many products are introduced to avoid such illnesses and provide e-learning-based healthcare services.
Fahima Hajjej +8 more
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Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations
Sensors, 2021 Basic human activity recognition (HAR) and analysis is becoming a key aspect of tracking and identifying daily habits that can have a critical impact on healthy lifestyles by providing feedback on health status and warning of deterioration.
Patryk Łaś, Piotr Wiśniowski
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Sensors, 2022 Current surveillance systems frequently use fixed-angle cameras and record a feed from those cameras. There are several disadvantages to such systems, including a low resolution for far away objects, a limited frame range and wasted disk space.
Shih-Chang Hsia +3 more
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Sensors, 2020 This article deals with the design and implementation of a prototype of an efficient Low-Cost, Low-Power, Low Complexity–hereinafter (L-CPC) an image recognition system for person detection.
Miroslav Schneider +4 more
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Motion streaks improve motion detection
Vision Research, 2007 A number of studies were conducted to determine whether motion-streaks assist motion extraction, and whether a purely motion-based model could account for any observed facilitation. A 3-frame global-motion stimulus was used. Signal dots were manipulated in order to control the strength of the motion-streak.
Edwards, Mark, Crane, Monique
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Detection and Tracking of Independent Motion. [PDF]
Procedings of the British Machine Vision Conference 1995, 1995 We describe an efficient method of using a translating camera to detect and track independently translating objects and assess the likelihood of a collision. By analysing the underlying geometry, it is shown that the tracking is reduced to two independent linear searches for a single feature in the image plane.
Clarke, JC, Zisserman, A
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Reducing Bitrate and Increasing the Quality of Inter Frame by Avoiding Quantization Errors in Stationary Blocks [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 In image compression and video coding, quantization error helps to reduce the amount of information ofthe high frequency components. However, in temporal prediction the quantization error contributes its valueas noise in the total residual information ...
Xuan-Tu Tran +5 more
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Learning to detect Motion Boundaries [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We propose a learning-based approach for motion boundary detection. Precise localization of motion boundaries is essential for the success of optical flow estimation, as motion boundaries correspond to discontinuities of the optical flow field. The proposed approach allows to predict motion boundaries, using a structured random forest trained on the ...
Philippe Weinzaepfel +3 more
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Nonlinear Motion Detection [PDF]
, 2009 This work presents new ideas in multidimensional signal theory: an isotropic quadrature filter approach for extracting local features of arbitrary curved signals without the use of any steering techniques. We unify scale space, local amplitude, orientation, phase and curvature in one framework. The main idea is to lift up signals by a conformal mapping
Lennart Wietzke, Gerald Sommer
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Frontiers in Neurorobotics, 2018 Visual motion detection is essential for the survival of many species. The phenomenon includes several spatial properties, not fully understood at the level of a neural circuit.
André Cyr +4 more
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