120 Open source projects that are alternatives of or similar to Action_recognition_tf

experiments on classifying actions using poses

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A curated list of action recognition and related area resources

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…

No description or website provided.

Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

Two-stream CNNs for video action recognition implemented in Keras

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A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

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Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

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Temporal Convolutional Feature Pyramid Network (TCFPN) & Iterative Soft Boundary Assignment (ISBA), CVPR '18

Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

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Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

A collection of recent video understanding datasets, under construction!

Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D

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Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Action recognition using soft attention based deep recurrent neural networks

A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.

NTU-X, which is an extended version of popular NTU dataset

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OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

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This repository host the code for real-time action detection paper

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PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

PyTorch implementation of two-stream networks for video action recognition

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REPresentAtion bIas Removal (REPAIR) of datasets

No description or website provided.

[ICCV 2021 Oral] Deep Evidential Action Recognition

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Using two stream architecture to implement a classic action recognition method on UCF101 dataset

temporal action detection with SSN

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

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