Hand Detection
12 papers with code • 0 benchmarks • 3 datasets
As an important subject in the field of computer vision, hand detection plays an important role in many tasks such as human-computer interaction, automatic driving, virtual reality and so on.
Benchmarks
These leaderboards are used to track progress in Hand Detection
Libraries
Use these libraries to find Hand Detection models and implementationsDatasets
TI1K Dataset
Slovo: Russian Sign Language Dataset
Human Palm and Gloves Dataset | Human Body Parts Dataset
Most implemented papers
Detector-in-Detector: Multi-Level Analysis for Human-Parts
In particular, we adopt a region-based object detection structure with two carefully designed detectors to separately pay attention to the human body and body parts in a coarse-to-fine manner, which we call Detector-in-Detector network (DID-Net).
Fingerspelling recognition in the wild with iterative visual attention
chevalierNoir/asl-iter-attn
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ICCV 2019
In this paper we focus on recognition of fingerspelling sequences in American Sign Language (ASL) videos collected in the wild, mainly from YouTube and Deaf social media.
Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos
Wearable cameras stand out as one of the most promising devices for the upcoming years, and as a consequence, the demand of computer algorithms to automatically understand the videos recorded with them is increasing quickly.
Contextual Attention for Hand Detection in the Wild
SupreethN/Hand-CNN
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ICCV 2019
We also conduct ablation studies on hand detection to show the effectiveness of the proposed contextual attention module.
An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications
Significance: The method proposed here, in combination with wearable cameras, will help clinicians directly measure hand function in a patient's daily life at home, enabling independence after SCI.
Development of a hand pose recognition system on an embedded computer using Artificial Intelligence
The recognition of hand gestures is a very interesting research topic due to the growing demand in recent years in robotics, virtual reality, autonomous driving systems, human-machine interfaces and in other new technologies.
Detection and tracking of fingertips for geometric transformation of objects in virtual environment
MahmudulAlam/Fingertip-Mixed-Reality
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In particular, the distance of the thumb and index fingertips is employed to scale a 3D object in virtual environment.
Development of a hand gesture based control interface using Deep Learning
This paper describes the implementation of a control system based on ten different hand gestures, providing a useful approach for the implementation of better user-friendly human-machine interfaces.
Affine transformation of virtual 3D object using 2D localization of fingertips
One purpose of VR environments is to transform a virtual 3D object with affine parameters by using the gesture of thumb and index fingers.
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild
cvlab-stonybrook/BodyHands
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CVPR 2022
We also introduce a new challenging dataset called BodyHands containing unconstrained images with hand and their corresponding body locations annotations.
