Topic: human-action-recognition Goto Github
Some thing interesting about human-action-recognition
Some thing interesting about human-action-recognition
human-action-recognition,Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
User: abduallahmohamed
human-action-recognition,Synthetically Generated Surveillance Perspective Human Action Recognition Dataset: 6901 Videos from 10 action classes, made by a 3D Simulation, all cropped spatio-temporally and filmed from a surveillance-camera like position.
User: alexandermelde
human-action-recognition,Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.
User: alexandermelde
human-action-recognition,Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
User: aminullah6264
Home Page: https://sites.google.com/view/aminullah/home
human-action-recognition,This is an effort to provide different approaches towards human action recognition from video. A method to perform data augmentation on skeletal data so as to achieve a view independent recognition approach is included.
User: antonypapadakis
human-action-recognition,A system for Human Action Recognition that uses the scale and body orientation invariant Skeletal Quads representation, with an LSTM network
User: aryaman-gupta
human-action-recognition,A Comprehensive Tutorial on Video Modeling
User: bryanyzhu
Home Page: https://cvpr20-video.mxnet.io
human-action-recognition,Human Activity Recognition Research Repository
User: caglarmert
human-action-recognition,This includes a novel method to measure the quality of the actions performed in Olympic weightlifting using human action recognition in videos. Human action recognition is a well-studied problem in computer vision and on the other hand action quality assessment is researched and experimented comparatively low. This is due to the lack of datasets that can be used to assess the quality of actions. In this research, we introduce a method to assess player techniques in weightlifting by using skeleton-based human action recognition. Furthermore, we introduce a new video dataset for action recognition in weightlifting which is annotated to frame level. We intended to develop a viable automated scoring system through action recognition that would be beneficial in the sports industry.
Organization: cepdnaclk
Home Page: https://cepdnaclk.github.io/e15-4yp-sports-action-recognition
human-action-recognition,Computer Vision Project : Action Recognition on UCF101 Dataset
User: cynicphoenix
human-action-recognition,This repository allows you to classify 40 different human actions. Pose detection, estimation and classification is also performed. Poses are classified into sitting, upright and lying down.
User: dronefreak
human-action-recognition,This python opencv code is used to segment the human object from the video frame
User: earthat
Home Page: https://free-thesis.com
human-action-recognition,[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
User: eccvanonymous
human-action-recognition,[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Organization: event-ahu
human-action-recognition,Human Activity Recognition UCI Dataset, final score 0.97196
User: harshraj11584
human-action-recognition,Project to explore a deep learning solution to a computer vision problem. Human action recognition has become increasingly popular. This project implements a deep RNN to detect seizures.
User: josephmhernandez
human-action-recognition,Implementation of some popular skeleton based Human Action Recognition methods basis on Deep Neural Networks.
User: kubabar1
human-action-recognition,Source code of experiments performed in paper: Human Action Recognition in Videos Based on Spatiotemporal Features and Bag-of-Poses
User: murilovarges
Home Page: http://www.recogna.tech
human-action-recognition,專題分類動作的程式
User: ncchen99
human-action-recognition,This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
User: negarhdr
human-action-recognition,11000-Image-Video-caption-data-of-human-action
Organization: nexdata-ai
Home Page: https://www.nexdata.ai/datasets/1289?source=Github
human-action-recognition,2341-People-Human-Action-Data-in-Online-Conference-Scenes
Organization: nexdata-ai
Home Page: https://www.nexdata.ai/datasets/1290?source=Github
human-action-recognition,Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
User: oswaldoludwig
human-action-recognition,This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).
Organization: pic4ser
human-action-recognition,deep learning sex position classifier
User: rlleshi
human-action-recognition,Thesis, Video Based Human Action Recognition Using Deep Learning
User: rlleshi
human-action-recognition,Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
User: smellslikeml
Home Page: https://www.hackster.io/actionai/actionai-custom-tracking-multiperson-activity-recognition-fa5cb5
human-action-recognition,Deep learning model that predicts human action in a given video feed using pose estimation
User: smitsheth
human-action-recognition,A human action dataset collected from Elder Scrolls V: Skyrim
User: soapisnotfat
human-action-recognition,Đề tài KLTN - TGMT/HCMUS - 7/2022
User: sonlechiht
human-action-recognition,Repository for the paper Accuracy Comparison of CNN, LSTM, and Transformer for Activity Recognition Using IMU and Visual Markers, containing all the datasets and Jupyter notebooks used for experiments
User: stadynr
human-action-recognition,his is a human action recognition(HAR) project based on CNNs and Tensorflow using a pretrained model.
User: tahashm
human-action-recognition,Human Action Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Hirakawa
User: topdev0215
human-action-recognition,[TPAMI 2020] "Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset" by Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, and Zhangyang Wang
Organization: vita-group
human-action-recognition,Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020
User: xiaoiker
human-action-recognition,机器学习实现基于手机六轴数据的人体动作识别和计数功能。并利用云服务器和微信小程序在手机上实现。 Use machine learning to achieve human activity recognition and counting function based on cell phone six-axis data. Achieve it on phone using ECS and WeChat mini-program.
User: xunik8
human-action-recognition,MSR Action Recognition Datasets and Codes
User: yavuzkomecoglu
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