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Motion Capture

38 papers with code · Computer Vision

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Generative Choreography using Deep Learning

23 May 2016jsn5/dancenet

Recent advances in deep learning have enabled the extraction of high-level features from raw sensor data which has opened up new possibilities in many different fields, including computer generated choreography.

MOTION CAPTURE

Neural Relational Inference for Interacting Systems

ICML 2018 ethanfetaya/nri

Interacting systems are prevalent in nature, from dynamical systems in physics to complex societal dynamics.

MOTION CAPTURE

Learning from Synthetic Humans

CVPR 2017 gulvarol/surreal

In this work we present SURREAL (Synthetic hUmans foR REAL tasks): a new large-scale dataset with synthetically-generated but realistic images of people rendered from 3D sequences of human motion capture data.

HUMAN PART SEGMENTATION MOTION CAPTURE POSE ESTIMATION

The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight

3 Oct 2018mit-fast/FlightGoggles

The Blackbird unmanned aerial vehicle (UAV) dataset is a large-scale, aggressive indoor flight dataset collected using a custom-built quadrotor platform for use in evaluation of agile perception. Inspired by the potential of future high-speed fully-autonomous drone racing, the Blackbird dataset contains over 10 hours of flight data from 168 flights over 17 flight trajectories and 5 environments at velocities up to $7. 0ms^-1$.

MOTION CAPTURE

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

17 Apr 2018VladyslavUsenko/basalt-mirror

For trajectory evaluation, we also provide accurate pose ground truth from a motion capture system at high frequency (120 Hz) at the start and end of the sequences which we accurately aligned with the camera and IMU measurements.

CALIBRATION MOTION CAPTURE VISUAL ODOMETRY

Ordinal Depth Supervision for 3D Human Pose Estimation

CVPR 2018 geopavlakos/ordinal-pose3d

This information can be acquired by human annotators for a wide range of images and poses.

3D HUMAN POSE ESTIMATION MOTION CAPTURE

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

ECCV 2018 Tobias-Fischer/rt_gene

We first record a novel dataset of varied gaze and head pose images in a natural environment, addressing the issue of ground truth annotation by measuring head pose using a motion capture system and eye gaze using mobile eyetracking glasses.

GAZE ESTIMATION IMAGE INPAINTING MOTION CAPTURE

Learning Human Optical Flow

14 Jun 2018anuragranj/humanflow

Given this, we devise an optical flow algorithm specifically for human motion and show that it is superior to generic flow methods.

MOTION CAPTURE OPTICAL FLOW ESTIMATION