Human-Pose-and-Motion History

Overview

Human Pose and Motion

Scientist Approach

Eadweard Muybridge, The Galloping Horse Portfolio, 1887

Eadweard Muybridge, The Galloping Horse Portfolio, 1887

Etienne-Jules Marey, Descent of Inclined Plane,

Chronophotograph, 1882

Etienne-Jules Marey, Descent of Inclined Plane, c. 1882, Chronophotograph

E.J. Marey, Geometric Chronophotograph of the man in the black suit, 1883

E.J. Marey, Geometric Chronophotograph of the man in the black suit, 1883

http://goldberg.berkeley.edu/courses/S06/IEOR-QE-S06/ejm_chronophotograph01.jpg

Man in the black suit with striping and points for chronophotography, 1883

http://goldberg.berkeley.edu/courses/S06/IEOR-QE-S06/MAREY_SUIT_1.GIF

Etienne-Jules Marey and George Demeny “Pathological walk from in front”(1889) (the first light painting photograph)

Etienne-Jules Marey and George Demeny “Pathological walk from in front”(1889)

https://upload.wikimedia.org/wikipedia/commons/b/b5/Etienne-Jules_Marey_et_George_Demeny._Pathological_Walk_from_the_Front.jpg

E.J. Marey, Chronophotographs from "The Human Body in Action," Scientific American, 1914

E.J. Marey, Chronophotographs from "The Human Body in Action," Scientific American, 1914

http://goldberg.berkeley.edu/courses/S06/IEOR-QE-S06/ejm04.jpg

Stroboscope(WIP)

Artist and Choreographer’s approach

Rudolph Von Laban (1879-1958)

the first choreographer to define a movement vocabulary in the body’s relationship to “space,” “shape,” and “effort(the inner impulses)” (Hutchinson, 7).

Rudolph Von Laban “Kinesphere”

Rudolf Laban” Documentary Raitre”

https://www.youtube.com/watch?v=iQUq94KJDYM&

https://youtu.be/iQUq94KJDYM

Oscar Schlemmer “man with slanting bars” (1930)

man with slanting bars [Schlemmer, 1930]

https://www.dropbox.com/s/w22pwozy4eva1hh/Screenshot%202018-05-16%2016.50.37.png?dl=0

https://www.dropbox.com/s/1dvvt6aevmf9n5t/Screenshot%202018-05-16%2016.51.17.png?dl=0

Drawing

Giacomo Balla

Dynamism of a Dog on a Leash (1912)

Balla, Giacomo, Dynamism of a Dog on a Leash (1912)  Oil on canvas, 89.8x109.8cm,  Buffalo: Albright-Knox Art Gallery

Marcel Duchamp, Nude Descending a Staircase, No. 2, 1912

Marcel Duchamp, Nude Descending a Staircase, No. 2, 1912

http://goldberg.berkeley.edu/courses/S06/IEOR-QE-S06/duchampdescending.jpg

Alberto Giacometti, Femme Qui Marche, 1955

Alberto Giacometti, Femme Qui Marche, 1955, 20.4 x 6.2 cm

Film

Norman Mclaren Pas de Deux(1960)

https://www.youtube.com/watch?v=H-uwuH_Qix4&

https://youtu.be/H-uwuH_Qix4

more artists , photographer (1930~

Harold Edgerton, Frank and Lillian Gilbreth, Gjon Mili

[ ] TODO: add more embed pictures

Man Ray“Space Writing”(1935)

https://research.bowdoin.edu/surrealist-photography/files/2014/02/1987.15.jpg

Dr. Harold E. Edgerton “Golfer” 1937 https://www.moma.org/collection/works/44219

Dr. Harold E. Edgerton “Bobby Jones, high-speed photography, golfing” - 1938 (?) http://webmuseum.mit.edu/images/DIAmed/HEE-NC-38024.L.jpg

Gjion MiliPablo Picasso "draws" a centaur in the air with light, 1949.

Pablo Picasso "draws" a centaur in the air with light, 1949. Gjon Mili—The LIFE Picture Collection/Getty Images

https://timedotcom.files.wordpress.com/2012/01/150316-pablo-picasso-01.jpg?quality=85&w=861

Eliot Eliofson, Duchamp descending a staircase, photograph from Life Magazine (1952)

Eliot Eliofson, Duchamp descending a staircase, photograph from Life Magazine (1952)

Engineer / Digital Media Artist’s approach

Openendedgroup + Merce Cunningham “Biped” (1999)

http://openendedgroup.com/artworks/biped.html

ISSEY MIYAKE A-POC INSIDE(2006) animation by Euphrates

https://www.youtube.com/watch?v=aYL4TyV1YDk&

http://euphrates.jp/ISSEY-MIYAKE-A-POC-INSIDE

SATO Tetsuji + SAKAMOTO Yoichi “blank” May 16, 2009 - August 9, 2009

https://player.vimeo.com/video/274663590

https://vimeo.com/274663590 http://www.ntticc.or.jp/en/exhibitions/2009/emergencies-011-sato-tetsuji-sakamoto-yoichi/

EUPHRATES “ballet rotoscope”(2011)

https://www.youtube.com/watch?v=yzJk6ww3LD0&&t=8s

http://euphrates.jp/ballet-rotoscope

UniversalEverything “Walking City” (2014)

https://player.vimeo.com/video/85596568

https://vimeo.com/85596568

Study for Fifteen Points / I by Random International (2016)

https://player.vimeo.com/video/162979922

https://vimeo.com/162979922 https://www.random-international.com/study-for-fifteen-points-2015

Golan Levin “Ghost Pole Propagator II” (2007, 2016) http://www.flong.com/projects/gpp-ii/

https://player.vimeo.com/video/219150989

https://vimeo.com/219150989

Machine Learning

Human Motion generation, synthesis

Dynamic Response for Motion Capture Animation(2008)

https://www.youtube.com/watch?v=JzAEx6d4ow4&

https://youtu.be/JzAEx6d4ow4

Human Motion Synthesis with Optimization-Based Graphs(2011)

https://www.youtube.com/watch?v=mInQEn0UxB0&

https://youtu.be/mInQEn0UxB0

A Deep Learning Framework for Character Motion Synthesis and Editing (SIGGRAPH 2016)

https://www.youtube.com/watch?v=urf-AAIwNYk&

https://youtu.be/urf-AAIwNYk

https://www.youtube.com/watch?v=W1oRgDPxEkc&

https://youtu.be/W1oRgDPxEkc

https://www.youtube.com/watch?v=c9h9zc7uPWQ&

https://youtu.be/c9h9zc7uPWQ

Computational Foresight: Realtime Forecast of Human Body Motion(2017)

https://www.youtube.com/watch?v=TXbhXgTMtNU&

https://youtu.be/TXbhXgTMtNU Phase-Functioned Neural Networks for Character Control(2017)

https://www.youtube.com/watch?v=Ul0Gilv5wvY&&t=57s

https://youtu.be/Ul0Gilv5wvY?t=57s

SIIGGRAPH 2018 Deep Mimic paper(main video)

https://www.youtube.com/watch?v=vppFvq2quQ0&&t=6s

https://youtu.be/vppFvq2quQ0?t=6s

Motion Capture / Pose Estimation Technic

openpose https://github.com/CMU-Perceptual-Computing-Lab/openpose

https://www.youtube.com/watch?v=C1Sxk6zxWLM&

https://youtu.be/C1Sxk6zxWLM

densepose http://densepose.org

https://www.youtube.com/watch?v=Dhkd_bAwwMc&

https://youtu.be/Dhkd_bAwwMc

PoseNet

Real-time Human Pose Estimation in the Browser with TensorFlow.js https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5

https://cdn-images-1.medium.com/max/1200/1*Gsx7MLBj2LKiaDsab0iNjg.gif

PoseNet https://github.com/tensorflow/tfjs-models/tree/master/posenet

Live Demo https://storage.googleapis.com/tfjs-models/demos/posenet/camera.html

RADiCAL

AI-powered 3D motion capture, minus the suits and hardware. https://getrad.co/#register

https://www.dropbox.com/s/bitz8pdrn5pxf71/Screenshot%202018-05-16%2017.29.42.png?dl=0

MonoPerfCap: Human Performance Capture from Monocular Video

http://gvv.mpi-inf.mpg.de/projects/wxu/MonoPerfCap/ https://arxiv.org/abs/1708.02136

https://www.dropbox.com/s/bsu60ot8tmhh79q/Screenshot%202018-05-16%2017.29.20.png?dl=0

Military

https://www.youtube.com/watch?v=D7I4qf-HlEI&

https://youtu.be/D7I4qf-HlEI

https://www.youtube.com/watch?v=zYypJPJipYc&

https://youtu.be/zYypJPJipYc

Soccer On Your Tabletop http://grail.cs.washington.edu/projects/soccer/

https://www.youtube.com/watch?v=eRGAB4QBS6U&

https://youtu.be/eRGAB4QBS6U

Bibiography

Golan Levin Audiovisual Software Art: A Partial History,9 May 2009

http://www.flong.com/texts/essays/see_this_sound_old/#case2

THE SPACE OF THE FALL, On Dance, Architecture, Bodily Perspective and Gravity

http://home.hccnet.nl/j.w.nijenhuis/artikel/TheSpaceoftheFallonDancea.html

Etienne-Jules Marey archive http://www.expo-marey.com/ANGLAIS/home.html

Eadweard Muybridge Works Online** http://www.artcyclopedia.com/artists/muybridge_eadweard.html

UCBerkeley “ HUMAN FACTORS AND EXISTENTIAL PHENOMENOLOGY”

http://goldberg.berkeley.edu/courses/S06/IEOR-QE-S06/images.html

MOMA Collection

https://www.moma.org/collection/works/49635?artist_id=1681

human-pose-detection by samim

https://medium.com/@samim/human-pose-detection-51268e95ddc2

light-painting-history

http://lightpaintingphotography.com/light-painting-history/

edgerton digital collections

https://edgerton-digital-collections.org

ラバン身体動作表現理論について

https://staff.aist.go.jp/toru-nakata/shintairon.html

a brief history of motion capture in the movies

http://www.ign.com/articles/2014/07/11/a-brief-history-of-motion-capture-in-the-movies

https://twitter.com/kcimc/status/1004428337597505536

https://twitter.com/kcimc/status/1004428337597505536

https://twitter.com/kcimc/status/1004427682883366912

https://twitter.com/kcimc/status/1004427682883366912

Owner
Daito Manabe
old school youtuber
Daito Manabe
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

Inductive entity representations from text via link prediction This repository contains the code used for the experiments in the paper "Inductive enti

Daniel Daza 45 Jan 09, 2023
YOLOv5 Series Multi-backbone, Pruning and quantization Compression Tool Box.

YOLOv5-Compression Update News Requirements 环境安装 pip install -r requirements.txt Evaluation metric Visdrone Model mAP ZhangYuan 719 Jan 02, 2023

[NeurIPS 2021] Low-Rank Subspaces in GANs

Low-Rank Subspaces in GANs Figure: Image editing results using LowRankGAN on StyleGAN2 (first three columns) and BigGAN (last column). Low-Rank Subspa

112 Dec 28, 2022
Applying PVT to Semantic Segmentation

Applying PVT to Semantic Segmentation Here, we take MMSegmentation v0.13.0 as an example, applying PVTv2 to SemanticFPN. For details see Pyramid Visio

35 Nov 30, 2022
Optical machine for senses sensing using speckle and deep learning

# Senses-speckle [Remote Photonic Detection of Human Senses Using Secondary Speckle Patterns](https://doi.org/10.21203/rs.3.rs-724587/v1) paper Python

Zeev Kalyuzhner 0 Sep 26, 2021
Repo for 2021 SDD assessment task 2, by Felix, Anna, and James.

SoftwareTask2 Repo for 2021 SDD assessment task 2, by Felix, Anna, and James. File/folder structure: helloworld.py - demonstrates various map backgrou

3 Dec 13, 2022
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals, CVPR2021

End-to-End Object Detection with Learnable Proposal, CVPR2021

Peize Sun 1.2k Dec 27, 2022
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation (NeurIPS2021 Benchmark and Dataset Track)

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation by Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zh

Kingdrone 174 Dec 22, 2022
Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.

Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. Not an official Google product. Me

Google Research 27 Dec 12, 2022
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Swin-Unet The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"(https://arxiv.org/abs/2105.05537). A validatio

869 Jan 07, 2023
Efficient Training of Visual Transformers with Small Datasets

Official codes for "Efficient Training of Visual Transformers with Small Datasets", NerIPS 2021.

Yahui Liu 112 Dec 25, 2022
A minimal implementation of Gaussian process regression in PyTorch

pytorch-minimal-gaussian-process In search of truth, simplicity is needed. There exist heavy-weighted libraries, but as you know, we need to go bare b

Sangwoong Yoon 38 Nov 25, 2022
Rule based classification A hotel s customers dataset

Rule-based-classification-A-hotel-s-customers-dataset- Aim: Categorize new customers by segment and predict how much revenue they can generate This re

Şebnem 4 Jan 02, 2022
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift (ICCV 2021)

Π-NAS This repository provides the evaluation code of our submitted paper: Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training

Jiqi Zhang 18 Aug 18, 2022
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Knodle (Knowledge-supervised Deep Learning Framework) - a new framework for weak supervision with neural networks. It provides a modularization for se

93 Nov 06, 2022
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, Pattern Recognition

USDAN The implementation of Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, which is accepte

11 Nov 03, 2022
Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling This repo contains the official implementation for the paper On Path Int

Ruiqi Gao 39 Nov 10, 2022
Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.

Ultrasound Nerve Segmentation Challenge using Torchnet This repository acts as a starting point for someone who wants to start with the kaggle ultraso

Qure.ai 46 Jul 18, 2022
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more

Ming 2k Jan 08, 2023
Code for Emergent Translation in Multi-Agent Communication

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Comm

Facebook Research 75 Jul 15, 2022