Markerless Motion Capture from Single or Multi-Camera Video Sequence

نویسنده

  • F. Remondino
چکیده

The modeling of human characters consists of two distinguished processes, namely the definition of 3D shape and 3D movement of the body. To achieve realism, both shape and motion information should be acquired from real persons. The two procedures are usually considered separately, by using full body scanners and motion capture systems. In this paper, we report about deterministic methods developed at IGP to perform the two modeling processes by using a unique set of data. Monocular or multi-camera videogrammetry in fact allow for human body modeling and motion reconstruction at the same time. The two reliable and accurate photogrammetric procedures are introduced and examples are presented.

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

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

Markerless Motion Capture with Multi-view Structured Light

We present a multi-view structured light system for markerless motion capture of human subjects. In contrast to existing approaches that use multiple camera streams, we reconstruct the scene by combining six partial 3D scans generated from three structured light stations surrounding the subject and operating in a round robin fashion. We avoid interference between multiple projectors through tim...

متن کامل

Articulated Object Reconstruction and Markerless Motion Capture from Depth Video

We present an algorithm for acquiring the 3D surface geometry and motion of a dynamic piecewise-rigid object using a single depth video camera. The algorithm identifies and tracks the rigid components in each frame, while accumulating the geometric information acquired over time, possibly from different viewpoints. The algorithm also reconstructs the dynamic skeleton of the object, thus can be ...

متن کامل

Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system.

Markerless motion capture systems have developed in an effort to evaluate human movement in a natural setting. However, the accuracy and reliability of these systems remain understudied. Therefore, the goals of this study were to quantify the accuracy and repeatability of joint angles using a single camera markerless motion capture system and to compare the markerless system performance with th...

متن کامل

Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO

In this paper, we describe the GPU implementation of a markerless full-body articulated human motion tracking system from multi-view video sequences acquired in a studio environment. The tracking is formulated as a multidimensional nonlinear optimisation problem solved using particle swarm optimisation (PSO). We model the human body pose with a skeleton-driven subdivisionsurface human body mode...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004