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Real Time Hand Gesture Recognition in Industry
With the 4th industrial revolution and the increased use of cobots in the industries comes many opportunities for new generation control panels. In this article, we proposed to develop a deep learning model to recognize in real time 10 different ...
Epidemic Prevention System Based on Voice Recognition Combined with Intelligent Recognition of Mask and Helmet
At present, COVID-19 cross-infection is easy to occur in dense places such as elevators. There are no epidemic prevention measures for construction site elevators on the market, and most of them require manual temperature measurement and reminders to ...
Activity Recognition in Industrial Environment using Two Layers Learning
Action and activity recognition is essential in the world of cobots to ensure the best efficiency and a safety collaboration between a robot and the human-being. The approach of the article is the creation of a new activity dataset for an industrial ...
A New Method of Specific Emitter Feature Extraction Based on IQ Imbalance
A new method for fingerprint feature extraction of specific emitter is proposed, the method used the individual differences of gain mismatch and phase mismatch which based on the I/Q imbalance. Received signal is denoised, demodulated and filtered, and ...
Mixup Augmentation for Deep Hashing
Deep hashing methods has gained growing popularity in approximate nearest neighbour search for large-scale image retrieval, but exhibit undesirable behaviors such as sensitivity to adversarial examples. In the paper, inspired by the success of mixup-...
Cross-modal and Semantics-Augmented Asymmetric CycleGAN for Data-Imbalanced Anime Style Face Translation
Human face to anime face translation has attracted the attention of many researchers in recent years, and various works have achieved high-quality style transfer on conventional tasks. However, existing works often have fatal shortcomings when the ...
Multi-Resolution Gabor Descriptor for Corrosion Detection in Pipeline Video Sequences
The work, in this paper, is dealing with texture analysis of internal pipeline video sequences in order to detect the corrosion indications. Our application concerns internal pipeline videos, that we have acquired using a pipeline endoscope named ”Pipe-...
Image Deep Steganography Detection based on Knowledge Distillation in Teacher-Student Network
The current hot deep steganography can hide confidential information of an image into a carrier image of the same size. It also has the characteristics of a high steganography rate and is often used for private communication within specific ...
A Multi-scale Framework for Visual Grounding
Visual Grounding aims to ground the right region of the image according to the query that describes the target. Generally, this task can be formalized as selecting the target with the highest matching score between the image regions and the language ...
DM8168-Based Cotton Field Variable Spraying System
A set of variable spraying system was designed based on TI's DM8168 cpu, and the cotton field video images were acquired via a webcam and sent to the image processor. The image processor would then give the weed position and variety after the analysis ...
Influence of Attenuation Coefficient and Exit Gap on EPID Measurement in Radiotherapy
In order to improve the safety and treatment quality of patients in radiotherapy, it is necessary to verify the dose delivery in radiotherapy. EPID has the advantages of fast acquisition speed, large imaging area, high resolution, good linear response ...
A Comparison of Three Swarm-Based Optimization Algorithms in Wind Turbine Radar Clutter Micro-Motion Parameters Estimation
Wind turbine radar clutter seriously affects the detection performance of radar. The effective estimation of micro-motion parameters is an important part of wind turbine radar clutter suppression. Aiming at the problem of wind turbine radar clutter ...
Measurement and Analysis of Electrophysiological Propagation on the Cardiac Slice-based Biosensor
Investigation about electrophysiological propagation in drugs screening is a central technique for analyzing the target action of the cardiovascular drugs. In order to investigate the propagation and conduction of the cardiac electrical signals, a slice-...
Attention-based Multi-View Stereo Network
The convolutional neural networks (CNNs) is a basic component in deep learning-based multi-view stereo (MVS) network for feature extraction, which effectively extract feature representations on single image scale. A broad range of prior research has ...
Multi-user Steerable Virtual Reality Cycling System with 3D Virtual Explorable Environment
The design and implementation of a multi-user virtual reality cycling system are presented in this paper. This system is designed to incorporate full steering, speed synchronization, online/local multiplayer, and a 3D virtual explorable environment. To ...
A Practice of Combining Game and Exercise using Virtual Reality
Virtual Reality (later all abbreviated as VR) technology has been widely applied in many fields. With its traits like high interactivity and immersivity, many remarkable VR applications for different use have come out and been popular. We design and ...
Research on Interactive Object Generation in VR Games Based on Grid Deformation
In order to make the objects in VR games more diverse and the interaction more immersive, this paper investigates the interaction process of object generation in the VR environment of head-mounted devices. Based on Laplacian grid deformation and Loop ...