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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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HMRN: heat map regression network to detect and track small objects in wide-area motion imagery
We propose HMRN, a deep heat map regression network to detect and track small moving objects in wide-area motion imagery (WAMI) by modifying a deep...
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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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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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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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Quasistatic Motion of Multilink Mechanisms
In this chapter, quasistatic motions of a multilink articulated snake-like mechanism along a rough horizontal plane are studied. The links of the...
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Describing Motion in Computer Images’ Stream: Optical Flow
This chapter gives a review of optical flow and evaluates the performance of the benchmark optical flow techniques on both synthetic and real image...
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Robust 3D reconstruction from uncalibrated small motion clips
Small motion can be induced from burst video clips captured by a handheld camera when the shutter button is pressed. Although uncalibrated burst...
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Motion and Interactivity
One characteristic that tends to distinguish generative art from other art forms is its ability to incorporate interactivity, and, as a result,...
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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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Multiple frequency–spatial network for RGBT tracking in the presence of motion blur
RGBT tracking combines visible and thermal infrared images to achieve tracking and faces challenges due to motion blur caused by camera and target...
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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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An efficient versatile video coding motion estimation hardware
Versatile Video Coding (VVC) is the latest video coding standard. It provides higher compression efficiency than the previous video coding standards...
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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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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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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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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...
