Papers Hand Detection
“Hand Detection” 태그가 달린 논문 62편 · 필터 해제
An Approach for Air Drawing Using Background Subtraction and Contour Extraction
In this paper, we propose a novel approach for air drawing that uses image processing techniques to draw on the screen by moving fingers in the air. This approach benefits a wide range of applications such as sign langua…
Hand DetectionOptical Character Recognition (OCR)PositionRoHan: Robust Hand Detection in Operation Room
Hand-specific localization has garnered significant interest within the computer vision community. Although there are numerous datasets with hand annotations from various angles and settings, domain transfer techniques f…
Data AugmentationDomain AdaptationHand DetectionSemi-supervised Domain AdaptationObject Detection Approaches to Identifying Hand Images with High Forensic Values
Forensic science plays a crucial role in legal investigations, and the use of advanced technologies, such as object detection based on machine learning methods, can enhance the efficiency and accuracy of forensic analysi…
Hand Detectionobject-detectionObject DetectionHandOS: 3D Hand Reconstruction in One Stage
Existing approaches of hand reconstruction predominantly adhere to a multi-stage framework, encompassing detection, left-right classification, and pose estimation. This paradigm induces redundant computation and cumulati…
2D Pose Estimation3D Hand Pose EstimationHand DetectionKeypoint Estimation+1HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition
This paper proposes the second version of the widespread Hand Gesture Recognition dataset HaGRID -- HaGRIDv2. We cover 15 new gestures with conversation and control functions, including two-handed ones. Building on the f…
Gesture RecognitionHand DetectionHand Gesture RecognitionHand-Gesture RecognitionOne-Stage-TFS: Thai One-Stage Fingerspelling Dataset for Fingerspelling Recognition Frameworks
The Thai One-Stage Fingerspelling (One-Stage-TFS) dataset is a comprehensive resource designed to advance research in hand gesture recognition, explicitly focusing on the recognition of Thai sign language. This dataset c…
Gesture RecognitionHand DetectionHand Gesture RecognitionHand-Gesture RecognitionWiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
In recent years, 3D hand pose estimation methods have garnered significant attention due to their extensive applications in human-computer interaction, virtual reality, and robotics. In contrast, there has been a notable…
3D Hand Pose EstimationHand DetectionHand Pose EstimationPose EstimationChildPlay-Hand: A Dataset of Hand Manipulations in the Wild
Hand-Object Interaction (HOI) is gaining significant attention, particularly with the creation of numerous egocentric datasets driven by AR/VR applications. However, third-person view HOI has received less attention, esp…
Action RecognitionHand DetectionObjectAutomated Patient Positioning with Learned 3D Hand Gestures
Positioning patients for scanning and interventional procedures is a critical task that requires high precision and accuracy. The conventional workflow involves manually adjusting the patient support to align the center …
Gesture RecognitionHand DetectionEgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos
Surgical tool detection is a fundamental task for understanding egocentric open surgery videos. However, detecting surgical tools presents significant challenges due to their highly imbalanced class distribution, similar…
Hand DetectionSurgical tool detectionEgocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
In this work, we explore egocentric whole-body motion capture using a single fisheye camera, which simultaneously estimates human body and hand motion. This task presents significant challenges due to three factors: the …
Egocentric Pose EstimationHand DetectionHand Pose EstimationPose Estimation+1Human-oriented Representation Learning for Robotic Manipulation
Humans inherently possess generalizable visual representations that empower them to efficiently explore and interact with the environments in manipulation tasks. We advocate that such a representation automatically arise…
DecoderHand DetectionRepresentation LearningRobot ManipulationToward American Sign Language Processing in the Real World: Data, Tasks, and Methods
Sign language, which conveys meaning through gestures, is the chief means of communication among deaf people. Recognizing sign language in natural settings presents significant challenges due to factors such as lighting,…
Hand DetectionSign Language TranslationTranslationHands-on detection for steering wheels with neural networks
In this paper the concept of a machine learning based hands-on detection algorithm is proposed. The hand detection is implemented on the hardware side using a capacitive method. A sensor mat in the steering wheel detects…
Hand DetectionHaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments
This study uses domain randomization to generate a synthetic RGB-D dataset for training multimodal instance segmentation models, aiming to achieve colour-agnostic hand localization in cluttered industrial environments. D…
Hand DetectionInstance SegmentationSemantic SegmentationRecursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations
Heavily relying on 3D annotations limits the real-world application of 3D object detection. In this paper, we propose a method that does not demand any 3D annotation, while being able to predict fully oriented 3D boundin…
3D Object DetectionHand DetectionHuman DetectionInstance Segmentation+3Robot to Human Object Handover using Vision and Joint Torque Sensor Modalities
We present a robot-to-human object handover algorithm and implement it on a 7-DOF arm equipped with a 3-finger mechanical hand. The system performs a fully autonomous and robust object handover to a human receiver in rea…
Hand DetectionObjectDeep learning based Hand gesture recognition system and design of a Human-Machine Interface
In this work, a real-time hand gesture recognition system-based human-computer interface (HCI) is presented. The system consists of six stages: (1) hand detection, (2) gesture segmentation, (3) use of five pre-trained co…
Gesture RecognitionHand DetectionHand Gesture RecognitionHand-Gesture Recognition+2HaGRID - HAnd Gesture Recognition Image Dataset
This paper introduces an enormous dataset, HaGRID (HAnd Gesture Recognition Image Dataset), to build a hand gesture recognition (HGR) system concentrating on interaction with devices to manage them. That is why all 18 ch…
Gesture RecognitionHand DetectionHand Gesture RecognitionHand-Gesture RecognitionMemory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications
Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse. In this work, we investigate two representative XR workloads: (i) Hand detection and (ii) …
CPUHand DetectionQuantization