Results 21 to 30 of about 970,714 (298)
Global-motion detection with transparent-motion signals
Vision Research, 1999 A number of experiments were conducted to compare the ability of observers to extract unidirectional and bidirectional (transparent) global-motion signals. In the unidirectional condition, the noise signal consisted of purely randomly-moving dots while in the bidirectional condition, a number of the randomly moving dots were replaced by the same number
Edwards, Mark, Nishida, Shin'ya
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Design of Dual-Mode Local Oscillators Using CMOS Technology for Motion Detection Sensors
Sensors, 2018 Recently, studies have been actively carried out to implement motion detecting sensors by applying radar techniques. Doppler radar or frequency-modulated continuous wave (FMCW) radar are mainly used, but each type has drawbacks.
Keum-Won Ha +3 more
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Edge-detection applied to moving sand dunes on Mars [PDF]
, 2013 Here we discuss the application of an edge detection filter, the Sobel filter of GIMP, to the recently discovered motion of some sand dunes on Mars. The filter allows a good comparison of an image HiRISE of 2007 and an image of 1999 recorded by the Mars ...
Sparavigna, Amelia Carolina
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IEEE Access, 2020 Current action recognition studies enjoy the benefits of two neural network branches, spatial and temporal. This work aims to extend the previous work by introducing a fusion of spatial and temporal branches to provide superior action recognition ...
Yuri Yudhaswana Joefrie, Masaki Aono
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Learning to Detect and Track Cells for Quantitative Analysis of Time-Lapse Microscopic Image Sequences [PDF]
, 2015 © 2015 IEEE.Studying the behaviour of cells using time-lapse microscopic imaging requires automated processing pipelines that enable quantitative analysis of a large number of cells.
Carlin, LM, Glocker, B, Kostelec, PD
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Real-Time Accumulative Computation Motion Detectors
Sensors, 2009 The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and ...
Saturnino Maldonado-Bascón +3 more
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An Explicable Keystroke Recognition Algorithm for Customizable Ring-Type Keyboards
IEEE Access, 2020 In our previous work, we developed an IMU (Inertial Measurement Unit) based smart ring that allows users to type characters without a physical keyboard and adopt well-known pattern recognition algorithms, such as Support Vector Machine (SVM), and Naive ...
Xiaopeng Sha +5 more
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Smoke recognition based on the depth learning
Dianzi Jishu Yingyong, 2018 Based on the second generation Artificial Intelligence Learning System(TensorFlow), this paper constructs a neural network to detect smoke images, and uses an improved motion detection algorithm to intercept the image of suspected smoke area.
Wang Tao, Gong Ningsheng, Jiang Guixiang
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Real-Time, Content-Based Communication Load Reduction in the Internet of Multimedia Things
Applied Sciences, 2020 There is an increasing number of devices available for the Internet of Multimedia Things (IoMT). The demands these ever-more complex devices make are also increasing in terms of energy efficiency, reliability, quality-of-service guarantees, higher data ...
Iffrah Tanseer +5 more
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IEEE Access, 2020 The broad accessibility of affordable and reliable recording equipment and its relative ease of use has enabled neuroscientists to record large amounts of neurophysiological and behavioral data. Given that most of this raw data is unlabeled, great effort
Waseem Abbas +2 more
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