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Human skeleton sequences have enough spatial and temporal information for action recognition. However, the features in different spatial parts of skeleton play distinctive roles in the different temporal phases of the action. Effectively extracting ...

According to commonly consented theories, the minimum hardware requirement for gaze tracker is one camera and two light sources to realize gaze estimation with free head movements [1]. However, in some scenarios such as eye tracking on mobile devices, ...

In the past two years, GAN (Generative Adversarial Networks) has emerged and been applied to the image deblurring problem, showing good results, especially in restoring high-frequency texture details of the image. However, there are very few papers on ...

In this paper, we consider the task of statistical modeling of 3D human shape and pose. Current advances in computer graphics, 3D scanning and reconstruction technologies and emergence of new application areas for human body models raise the need not ...

It is very important for risk reduction and the scientific and suitability planning of channel land consolidation to describe and simulate channel landform based on DEM data, and to extract quantitatively topographic slope.This paper presents a 3D ...

Image matching technology is the key technology for indoor vision robot positioning and map construction. The Scale Invariant Feature Transform(SIFT) algorithm has scale and rotation invariance, but there is a problem of long registration time and poor ...

This paper proposes a new similarity measure for K-Nearest Neighbor (K-NN) classifier based on Fourier Descriptors of pixels spectral curves. This similarity measures the resemblance between Fourier Descriptors of candidate pixel and reference pixels ...

It is widely recognized that the image format is crucial to steganography for that each individual format has its unique properities. Nowadays, the most famous approach of digital image steganography is to combine a well-defined distortion function with ...

In this paper, aiming at the detection and recognition of the plant leaf disease area, the HSI color space instead of RGB is proposed to preprocess the original image, in order to solve the problem of difficult segmentation of plant leaf images due to ...

Night pedestrian detection has attracted attention of researchers from academic institutions and industry companies for many years especially on surveillance systems and assistive night vision systems for intelligent vehicles. However, most detection ...

As the typical man-made objects, buildings play a special role in remote sensing images. This paper proposes a building scene recognition method based on deep multiple instance convolutional neural network. Scene classification is formulated as a ...

Nowadays, night security and assurance are necessary and monitoring systems have been set up all over China. However, it is difficult to analyze the monitoring area because of the dark night light. In order to further maintain peace and ensure the ...

Image super-resolution and deblurring are two highly ill-posed problems that are usually dealt separately. However, real-world images are often low-resolution and have complex blurring. In this paper, non-uniform motion blur and super-resolution task ...

The edge of the traditional non-local Means (NLM) constrained CT reconstruction algorithm tends to be over-smooth. An improved algebraic iterative reconstruction algorithm based on adaptive non-local mean constraint (ART_SNLM) is proposed in this paper. ...

As a kind of defect on the surface of metal, rust greatly affects the quality of workpiece. However, it's usually difficult to segment rust with small area. Aiming at the segmentation threshold in small rust area detection, a method based on ...

The accurate and reliable navigation system is very important for the Unmanned Ground Vehicles (UGVs) in indoor environment, where Global Positioning System (GPS) is almost unreliable or unavailable. This paper leverages the information from gyroscope, ...

Adaptive streaming over HTTP/2 has recently caught attention in the development of multimedia delivery. The server push feature of HTTP/2 enables the streaming server to send multiple video segments to the clients within a single request, therefore ...

In order to gain a high-performance analysis for electroencephalogram (EEG) signal, denoising has become a hot topic in this field. Due to the good performance of Volterra model, it has been widely applied to remove the noise in EEG signals. However, ...

The importance of applying speaker recognition systems in forensic environments has increased in this century. One reason is the use of audio recordings as evidence in trials of every kind. This article presents a voice corpus design with this use in ...

Augmented Reality (AR) and Virtual Reality (VR) can serve as an efficient tool in Information Technology (IT), helping students to cope with the tasks they used to deal in an interesting and the same time productive way. The aim of this study is to show ...

Video games have demonstrated historically that they have been able to teach players skills. These skills range from teamwork - in multiplayer games - to logic and reason in puzzle games. It has been proven[1] that video games not only are associated ...

This paper applies the theory of information space for an inquiry into dialogue management based upon the partially observable Markov decision process (POMDP) and proposes to maintain the history of belief states for the analysis of trend changes. The ...

Improving depth perception accuracy in virtual environments is an important research topic to use 3D vision technology for quantitative practice. This study examines the impacts of various depth cues on human depth perception in a specialized virtual ...

In the space clustering algorithm, because of the choice of the value of k and the problem of the non-clear "elbow point" of the elbow method, this paper introduces logarithmic function and determines the initial clustering center on the basis of the ...