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Convolutional Neural Networks (CNNs) have been receiving research attention for Stereoscopic Video Quality Assessment (SVQA) in recent years. Recently, researchers have used 3D CNNs for extracting useful spatial and temporal features from stereo ...

The minimal degree of a permutation group G is the minimum number of points not fixed by non-identity elements of G. Lower bounds on the minimal degree have strong structural consequences on G. Babai conjectured that if a primitive coherent ...

• Motion Accumulation Module (MAM) captures comprehensive motion information.
• Motion Selection Module (MSM) identifies stimulating motion features.
• MAS-Net achieves state-of-the-art results on Something-Something V1&V2 and Diving48 ...

Numerous studies have highlighted the crucial role of motion information in accurate action recognition in videos. However, current methods heavily rely on temporal differences of features extracted by convolutional neural networks (CNNs) to ...

Octopus vulgaris has become an important model for motor control studies in soft robotics, due to its highly developed neural system and complexity in motion. For the past ten years, research on octopus arm motor system has provided advancements ...

With the continuous advancement in Internet-of-Things and deep learning, video action recognition is gradually emerging in daily and industrial applications. Spatiotemporal and motion patterns are two crucial and complementary types of information ...

In this study, we analyzed human impressions of the motions and trajectories of a robot, aiming to design appropriate motions for home-service robots, such as cleaning robots. General communication robots have various expression modalities, such ...

The design of robot motion is one of the most important questions in social robotics as it underpins successful human–robot interaction. Human-inspired motion design based on anthropomorphic models, through which human motion features are ...

Modern life is stressful - long working hours, poor diets, inactivity, and increasing social isolation in the digital age have all contributed to rising rates of anxiety and depression. The COVID-19 pandemic escalated this situation with a series ...

Magnetic Resonance Imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Over Cardiac MRI (CMR) images, Deep Learning (DL) models perform several tasks with good efficacy, such as segmentation, estimation, ...$\mathrm{}$

We propose a novel method of abnormal crowd behavior detection in surveillance videos. Mainly, our work focuses on detecting crowd divergence behavior that can lead to serious disasters like a stampede. We introduce a notion of physically ...

Video has become an increasingly important part of our daily digital communication. With the development of higher resolution contents and displays, its significant volume poses significant challenges to the goals of acquiring, ...

• MOVI-Codec avoids the overhead of motion estimation/compensation based on search.

Human motion analysis is fundamental in many real applications such as surveillance and monitoring, human-machine interface, medical motion analysis and diagnosis. With the increasing amount of data in biomechanics research, it is becoming ...

The ability to accurately spray on large surfaces is essential in many industrial applications. This task can be ergonomically challenging. Currently, fixed robotic manipulators are being used for this purpose. However, a fixed manipulator may not ...

Enhancing or detecting visual features related both to shape and motion is an important step in motion recognition. In the present study, we developed a spatio-temporal visual feature detection algorithm that provides information for estimating ...

• In this paper, we characterize Hamming and Johnson graphs by their spectral gap.

One of the central results in the representation theory of distance-regular graphs classifies distance-regular graphs with μ ≥ 2 and second largest eigenvalue θ 1 = b 1 − 1. In this paper we give a classification under the (weaker) ...

These days stereoscopic cameras are commonly used in daily life, such as the new smartphones and emerging technologies. The quality of the stereo video can be affected by various factors (e.g., blur artifact due to camera/object motion). For ...

So far, on the premise of using a monocular optical camera, sign language motion classification has been performed using a wristband and color gloves with different dyeing on each finger. In this method, the movement of sign language is detected ...

Facial recognition is becoming an increasingly popular way to authenticate users, helped by the increased use of biometric technology within mobile devices, such as smartphones and tablets. Biometric systems use thresholds to identify whether a ...

In this paper, we propose a novel shot boundary detection technique using gradient and colour information. The gradient similarity and luminance distortion are calculated to measure the contrast and structural changes of each frame including ...

This work proposes a novel motion guided method for targetless self-calibration of a LiDAR and camera and use the re-projection of LiDAR points onto the image reference frame for real-time depth upsampling. The calibration parameters are estimated ...