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Found 13 papers, 2 papers with code
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition
Our study aims to fill this research gap by exploring the field of 2D hand pose estimation for egocentric action recognition, making two contributions.
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data
To address this shortage, our research introduces a novel generative technique for creating trimodal, i. e., RGB, thermal, and depth, human-focused datasets.
Through-Wall Imaging based on WiFi Channel State Information
This work presents a seminal approach for synthesizing images from WiFi Channel State Information (CSI) in through-wall scenarios.
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition
To address this issue, in this work, data augmentation techniques commonly used in image-based learning are applied to WiFi CSI to investigate their effects on model generalization performance in cross-scenario and cross-system settings.
Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition
For the core NLOS activity recognition problem, the biquad antenna and PIFA-based systems achieve accuracies of 92. 0$\pm$3. 5 and 86. 8$\pm$4. 7, respectively, demonstrating the feasibility of long-range through-wall HAR with the proposed systems.
Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose
Egocentric action recognition is essential for healthcare and assistive technology that relies on egocentric cameras because it allows for the automatic and continuous monitoring of activities of daily living (ADLs) without requiring any conscious effort from the user.
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms
As the privacy risks posed by camera surveillance and facial recognition have grown, so has the research into privacy preservation algorithms.
A Fast Unified System for 3D Object Detection and Tracking
We present FUS3D, a fast and lightweight system for real-time 3D object detection and tracking on edge devices.
Bias and Fairness in Computer Vision Applications of the Criminal Justice System
Discriminatory practices involving AI-driven police work have been the subject of much controversies in the past few years, with algorithms such as COMPAS, PredPol and ShotSpotter being accused of unfairly impacting minority groups.
State of the Art of Audio- and Video-Based Solutions for AAL
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation.
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
Based on the reported results alone, the performance impact of these factors is unclear.
Ranked #1 on
Facial Expression Recognition
on FER2013
Reading Ancient Coin Legends: Object Recognition vs. OCR
Standard OCR is a well-researched topic of computer vision and can be considered solved for machine-printed text.
A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification
We apply the BoVWs technique to our problem and use three symbols for coarse-grained classification.
