Results 11 to 20 of about 295,698 (318)
Silver Nanowire-Based Flexible Strain Sensor for Human Motion Detection [PDF]
SensorsAccurately capturing human movements is a crucial element of health status monitoring and a necessary precondition for realizing future virtual reality/augmented reality applications.
Abduweli Mijit +4 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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Current Directions in Biomedical Engineering, 2021 Many people are familiar with the feeling of instability, pain, or subsidence in the knee joint after a knee injury. There are many different methods for examining the knee, such as the drawer test or the Lachman test [1], before and after surgery. While
Schlage Nana +3 more
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Real-Time Motion Detection Network Based on Single Linear Bottleneck and Pooling Compensation
Applied Sciences, 2022 Motion (change) detection is a basic preprocessing step in video processing, which has many application scenarios. One challenge is that deep learning-based methods require high computation power to improve their accuracy.
Huayang Cheng, Yunchao Ding, Lu Yang
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Ghost Detection and Removal Based on Two-Layer Background Model and Histogram Similarity
Sensors, 2020 Detecting and removing ghosts is an important challenge for moving object detection because ghosts will remain forever once formed, leading to the overall detection performance degradation. To deal with this issue, we first classified the ghosts into two
Yiping Xu, Hongbing Ji, Wenbo Zhang
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A study of human motion in computer vision systems based on a skeletal model [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2021 Methods of studying human motion in computer vision systems can be divided into two types. These are analysis in twodimensional and three-dimensional space. The former uses a single camera image and/ or multiple body sensors.
Sophia A. Kazakova +5 more
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Movement-in-a-Video Detection Scheme for Sign Language Gesture Recognition Using Neural Network
Applied Sciences, 2022 Sign language aids in overcoming the communication barrier between hearing-impaired individuals and those with normal hearing. However, not all individuals with normal hearing are skilled at using sign language.
Angela C. Caliwag +3 more
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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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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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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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