Results 101 to 110 of about 30,838 (137)

RecovGait: Occluded Parkinson’s Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization Technique

Sensors
Parkinson’s disease is a neurodegenerative disorder disease that worsens over time and involves the deterioration of nerve cells in the brain. Gait analysis has emerged as a promising tool for early detection and monitoring of Parkinson’s disease ...
Chiau Wen Yeong, Tee Connie, Thian Song Ong, Nor Izzati Saedon, Ahmad Al-Khatib, Mahmoud Farfoura   +5 more
doaj   +1 more source

Drone Detection and Pose Estimation Using Relational Graph Networks

Sensors, 2019
With the upsurge in use of Unmanned Aerial Vehicles (UAVs), drone detection and pose estimation by using optical sensors becomes an important research subject in cooperative flight and low-altitude security.
Ren Jin, Jiaqi Jiang, Yuhua Qi, Defu Lin, Tao Song   +4 more
doaj   +1 more source

Keypoint Detection Based on Curvature Grouping and Adaptive Sampling

IEEE Access
In the keypoint detection algorithm, the farthest point sampling methods and random sampling methods are usually used to select candidate points, then keypoints are screened out from the neighborhood of the candidate points.
Bifu Li, Yu Cheng, Weitong Li
doaj   +1 more source

Facial Keypoints Detection

, 2017
Detect facial keypoints is a critical element in face recognition. However, there is difficulty to catch keypoints on the face due to complex influences from original images, and there is no guidance to suitable algorithms. In this paper, we study different algorithms that can be applied to locate keyponits.
openaire   +2 more sources

Separable Facial Image Editing via Warping With Displacement Vectors

IEEE Access
Recent deep learning techniques have enabled simple methods of image editing through textual instructions; however, it remains challenging to perform specific and quantitative editing.
Ryusei Nishikawa, Chunzhi Gu, Haruka Takahashi, Shigeru Kuriyama   +3 more
doaj   +1 more source

RSCS6D: Keypoint Extraction-Based 6D Pose Estimation

Applied Sciences
In this work, we propose an improved network, RSCS6D, for 6D pose estimation from RGB-D images by extracting keypoint-based point clouds. Our key insight is that keypoint cloud can reduce data redundancy in 3D point clouds and accelerate the convergence ...
Weiyu Liu, Nan Di
doaj   +1 more source

Head pose estimation with particle swarm optimization‐based contrastive learning and multimodal entangled GCN

IET Image Processing
Head pose estimation is an especially challenging task due to the complexity nonlinear mapping from 2D feature space to 3D pose space. To address the above issue, this paper presents a novel and efficient head pose estimation framework based on particle ...
Yuanfeng Lian, Yinliang Shi, Zhaonian Liu, Bin Jiang, Xingtao Li   +4 more
doaj   +1 more source

MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba

Sensors
Human pose estimation is an important research direction in the field of computer vision, which aims to accurately identify the position and posture of keypoints of the human body through images or videos.
Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue   +4 more
doaj   +1 more source

Keypoints-Based Multi-Cue Feature Fusion Network (MF-Net) for Action Recognition of ADHD Children in TOVA Assessment

Bioengineering
Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder among children and adolescents. Behavioral detection and analysis play a crucial role in ADHD diagnosis and assessment by objectively quantifying hyperactivity and
Wanyu Tang, Chao Shi, Yuanyuan Li, Zhonglan Tang, Gang Yang, Jing Zhang, Ling He   +6 more
doaj   +1 more source

Keypoint Promptable Re-Identification

Occluded Person Re-Identification (ReID) is a metric learning task that involves matching occluded individuals based on their appearance. While many studies have tackled occlusions caused by objects, multi-person occlusions remain less explored. In this work, we identify and address a critical challenge overlooked by previous occluded ReID methods: the
Somers, Vladimir, Alahi, Alexandre, De Vleeschouwer, Christophe, Computer Vision – ECCV 2024   +3 more
openaire   +3 more sources