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High-Orders Motion Analysis Computer Vision Methods
This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer...
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A multilayer human motion prediction perceptron by aggregating repetitive motion
Human motion prediction aims to forecast future human poses given a historical motion. Current state-of-the-art approaches rely on deep learning...
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Video motion forgery detection using motion residual and object tracking
Due to the extensive application of the video editing tools, video authentification has become an interesting topic. Video motion forgery is one of...
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Beyond anthropomorphising robot motion and towards robot-specific motion: consideration of the potential of artist—dancers in research on robotic motion
The design of robot motion is one of the most important questions in social robotics as it underpins successful human–robot interaction....
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Motion Capture
Motion Capture bezeichnet Verfahren, mit denen Bewegungen realer Objekte aufgezeichnet werden können. In diesem Kapitel geben wir einen Überblick und...
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Learning Local Features of Motion Chain for Human Motion Prediction
Extracting local features is a key technique in the field of human motion prediction. However, Due to incorrect partitioning of strongly correlated...
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Development of a Camera Motion Estimation Method Utilizing Motion Blur in Images
Motion blur presents a significant challenge in visual SLAM. Since a satisfying performance highly relies on clear and feature-rich images, the...
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Robot Motion Planning
Motion planning aims to increase the ability of robots to plan and act on their own. Efficient and safe motion planning algorithms are crucial for...
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The Motion Sensor
The Robot Inventor comes with several sensors that connect to the Hub, as well as a built-in one: the Motion Sensor, which is found inside the Hub’s...
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Contrastive disentanglement for self-supervised motion style transfer
Motion style transfer, which aims to transfer the style from a source motion to the target while kee** its content, has recently gained...
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Self-Supervised Music Motion Synchronization Learning for Music-Driven Conducting Motion Generation
The correlation between music and human motion has attracted widespread research attention. Although recent studies have successfully generated...
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A learning artificial visual system for motion direction detection
Research on the visual system and its development is not only crucial for understanding how we see and interpret the environment from basic visual...
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Towards imbalanced motion: part-decoupling network for video portrait segmentation
Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent...
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Understanding User Motion
The possibility of capturing users’ movements as input for interaction has opened perspectives in human-computer interaction (HCI) and created new...
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Neural Network-Based Human Motion Predictor and Smoother
Though continuous advances in the field of human pose estimation, it remains a challenge to retrieve high-quality recordings from real-life human...
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Motion2language, unsupervised learning of synchronized semantic motion segmentation
In this paper, we investigate building a sequence to sequence architecture for motion-to-language translation and synchronization. The aim is to...
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Appearance-motion heterogeneous networks for video anomaly detection
Video anomaly detection, an important aspect of intelligent surveillance systems, is an important challenge to effectively distinguish the appearance...
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A causal convolutional neural network for multi-subject motion modeling and generation
Inspired by the success of WaveNet in multi-subject speech synthesis, we propose a novel neural network based on causal convolutions for...
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CAMTrack: a combined appearance-motion method for multiple-object tracking
Object tracking has emerged as an essential process for various applications in the field of computer vision, such as autonomous driving. Recently,...
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Video watermarking technique using motion vectors to video authentication
With the increase in the number of communication networks and digital multimedia technologies, ensuring the confidentiality of information has become...
