FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras

نویسندگان

  • Lan Xu
  • Yebin Liu
  • Wei Cheng
  • Kaiwen Guo
  • Guyue Zhou
  • Qionghai Dai
  • Lu Fang
چکیده

Aiming at automatic, convenient and non-instrusive motion capture, this paper presents a new generation markerless motion capture technique, the FlyCap system, to capture surface motions of moving characters using multiple autonomous flying cameras (autonomous unmanned aerial vehicles(UAVs) each integrated with an RGBD video camera). During data capture, three cooperative flying cameras automatically track and follow the moving target who performs large-scale motions in a wide space. We propose a novel non-rigid surface registration method to track and fuse the depth of the three flying cameras for surface motion tracking of the moving target, and simultaneously calculate the pose of each flying camera. We leverage the using of visual-odometry information provided by the UAV platform, and formulate the surface tracking problem in a non-linear objective function that can be linearized and effectively minimized through a Gaussian-Newton method. Quantitative and qualitative experimental results demonstrate the plausible surface and motion reconstruction results.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-Time and Markerless 3D Human Motion Capture Using Multiple Views

We present a fully automated system for real-time markerless 3D human motion capture. Our approach, based on fast algorithms, uses simple techniques and requires low-cost devices. Using input from multiple calibrated webcams, an extended Shape-From-Silhouette algorithm reconstructs the person in real-time. Fast 3D shape and 3D skin parts analysis provide a robust and real-time system for human ...

متن کامل

Feasibility of a single camera markerless motion capture system to accurately measure flexion-extension

INTRODUCTION Traditional motion capture techniques use markers to measure movement. However, markers are prone to soft tissue artifact and experimental error [1] as well as possible impedance to natural motion. Another significant challenge is the ability to use optical motion capture systems in a variety of natural setting such as a patient’s home, on the sports field, or in public. This has l...

متن کامل

Towards Model-free Markerless Motion Capture

An approach for model-free markerless motion capture of humans is presented. This approach is centered on generating underlying nonlinear axes (or a skeleton curve) from a volume of a human subject. Human volumes are captured from multiple calibrated cameras. We describe the use of skeleton curves for determining the kinematic posture of a human captured volume. Our motion capture uses a skelet...

متن کامل

Modelling and Tracking Articulated Motion from Multiple Camera Views

This paper describes a scheme for modelling and tracking the motion of articulated bodies using a number of video cameras. The aim is to obtain complete and accurate information on the three-dimensional location and motion of the bodies over time. Applications include medicine, sports analysis and motion capture for animation. Feature extraction is avoided by placing markers at the joints of th...

متن کامل

Automated markerless extraction of walking people using deformable contour models

We develop a new automated markerless motion capture system for the analysis of walking people. We employ global evidence gathering techniques guided by biomechanical analysis to robustly extract articulated motion. This forms a basis for new deformable contour models, using local image cues to capture shape and motion at a more detailed level. We extend the greedy snake formulation to include ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IEEE transactions on visualization and computer graphics

دوره   شماره 

صفحات  -

تاریخ انتشار 2017