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Comparison of Deep Learning Algorithms for Facial Keypoints Detection
A study on facial keypoints recognition using five deep learning models is presented in this paper, focusing on emphasizing the significance of...
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A Novel Vision-Based Fall Detection Scheme Using Keypoints of Human Skeleton with Long Short-Term Memory Network
Human activity recognition plays a prominent role in applications like sports, violence detection, accident detection, women security, and smart...
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Description-Based Ranking of Visual Instances: Feasibility Study for Keypoints
The paper introduces (and investigates) a novel methodology for improving performances of detection of visual objects (keypoints are selected as...
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Simultaneous Prediction of Hand Gestures, Handedness, and Hand Keypoints Using Thermal Images
Hand gesture detection is a well-explored area in computer vision with applications in various forms of human–computer interactions. In this work, we...
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Evolutionary-based generation of rotation and scale invariant texture descriptors from SIFT keypoints
To describe image data, prominent keypoints are commonly detected before running an extraction process to generate a feature vector. However,...
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G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation
Robot pose estimation plays a fundamental role in various applications involving service and industrial robots. Among the methods used for robot pose...
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KAMTFENet: a fall detection algorithm based on keypoint attention module and temporal feature extraction
Falls have become the second leading cause of accidental death of the elderly. The serious consequences of falls in the elders can be reduced...
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Lightweight YOLOv8 Networks for Driver Profile Face Drowsiness Detection
Vision-based driver monitoring, a non-invasive method designed to identify potentially dangerous operations, has attracted increasing attention in...
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High-performance image forgery detection via adaptive SIFT feature extraction for low-contrast or small or smooth copy–move region images
Due to their robustness against large-scale geometric transformations, keypoint-based detection methods play an important role in revealing copy–move...
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Multi-Human Pose Estimation by Deep Learning-Based Sequential Approach for Human Keypoint Position and Human Body Detection
Recent multimedia and computer vision research has focused on analyzing human behavior and activity using images. Skeleton estimation, known as pose...
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YOLOPose: Transformer-Based Multi-object 6D Pose Estimation Using Keypoint Regression
6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications. The state-of-the-art models for pose estimation...
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Keypoint Based Tampered Image Identification
Identifying the tampered regions within an image is a challenging field of study. Images are often altered using editing programs or tools such as...
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Multi-scale Dimensionality Reduction with F-Transforms in Time Series Analysis
Our first contribution to this topic is as follows: we show that in the case of large datasets, dimensionality reduction should be divided into...
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Visual Localization and Map** in Dynamic and Changing Environments
The real-world deployment of fully autonomous mobile robots depends on a robust simultaneous localization and map** (SLAM) system, capable of...
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Using LSTM to translate Thai sign language to text in real time
Between 2019 and 2022, as the Covid-19 pandemic unfolded, numerous countries implemented lockdown policies, leading most corporate companies to...
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Performance Evaluation of Yoga Pose Classification Model Based on Maximum and Minimum Feature Extraction
Yoga is an ancient process that creates wired and complex poses for the human body. Yoga is the best exercise that creates a complete balance between...
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Automated Ship Berthing Guidance Method Based on Three-dimensional Target Measurement
Automatic berthing guidance is an important aspect of automated ship technology to obtain the ship-shore position relationship. The current...
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A copy-move forgery detection technique using DBSCAN-based keypoint similarity matching
In an era marked by the contrast between information and disinformation, the ability to differentiate between authentic and manipulated images holds...
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USuperGlue: an unsupervised UAV image matching network based on local self-attention
This study addresses the issues of the limited or unavailable unmanned aerial vehicle (UAV) image matching labels, differences in imagery between UAV...
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Learning visual-based deformable object rearrangement with local graph neural networks
Goal-conditioned rearrangement of deformable objects (e.g. straightening a rope and folding a cloth) is one of the most common deformable...
