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Hand-Gesture Recognition

9 papers with code · Computer Vision
Subtask of Hand · Gesture Recognition

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Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

29 Jan 2019ahmetgunduz/Real-time-GesRec

We evaluate our architecture on two publicly available datasets - EgoGesture and NVIDIA Dynamic Hand Gesture Datasets - which require temporal detection and classification of the performed hand gestures.

ACTION RECOGNITION IN VIDEOS HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

25 Aug 2017kenshohara/3D-ResNets

The 3D ResNets trained on the Kinetics did not suffer from overfitting despite the large number of parameters of the model, and achieved better performance than relatively shallow networks, such as C3D.

ACTION RECOGNITION IN VIDEOS HAND-GESTURE RECOGNITION

Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

15 Jan 2019Ha0Tang/HandGestureRecognition

Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a vitally important role in natural human-computer interface.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

14 Jun 2018Plrbear/HGR-Net

We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION HAND GESTURE SEGMENTATION HAND SEGMENTATION SEMANTIC SEGMENTATION

IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition

20 Apr 2020GibranBenitez/IPN-hand

The experimental results show that the state-of-the-art ResNext-101 model decreases about 30% accuracy when using our real-world dataset, demonstrating that the IPN Hand dataset can be used as a benchmark, and may help the community to step forward in the continuous HGR.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION