Object-Based Visual 3D Tracking of Articulated Objects via Kinematic Sets

نویسندگان

  • Andrew I. Comport
  • Éric Marchand
  • François Chaumette
چکیده

A theoretical framework based on robotics techniques is introduced for visual tracking of parametric non-rigid multi-body objects. It is based on an a-priori model of the object including a general mechanical link description. The objective equation is defined in the object-based coordinate system and non-linear minimization relates to the movement of the object and not the camera. This results in simultaneously estimating all degrees of freedom between the object’s last known position relative to its previous position as well as internal articulated parameters. A new kinematic-set formulation takes into account that articulated degrees of freedom are directly observable from the camera and therefore their estimation does not need to pass via a kinematicchain back to the root. By doing this the tracking techniques are efficient and precise leading to real-time performance and accurate measurements. The system is locally based upon an accurate modeling of a distance criteria. A general method is derived for defining any type of mechanical link and experimental results show prismatic, rotational and helicoidal type links. A statistical M-estimation technique is applied to improve robustness. A monocular camera system was used as a real-time sensor to verify the theory.

برای دانلود رایگان 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

Interactive Segmentation, Tracking, and Kinematic Modeling of Unknown Articulated Objects

We present an interactive perceptual skill for segmenting, tracking, and kinematic modeling of 3D articulated objects. This skill is a prerequisite for general manipulation in unstructured environments. Robot-environment interaction is used to move an unknown object, creating a perceptual signal that reveals the kinematic properties of the object. The resulting perceptual information can then i...

متن کامل

Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset

Next generation robots will need to understand intricate and articulated objects as they cooperate in human environments. To do so, these robots will need to move beyond their current abilities—working with relatively simple objects in a task-indifferent manner—toward more sophisticated abilities that dynamically estimate the properties of complex, articulated objects. To that end, we make two ...

متن کامل

Kinematic sets for real-time robust articulated object tracking

In this article a new approach is given for real-time visual tracking of a class of articulated non-rigid objects in 3D. The main contribution of this paper consists in symmetrically modeling the motion and velocity of an articulated object via a novel kinematic set approach. This is likened to a Lagrange-d’Alembert formulation in classical physics. The advantages of this new model over pre-exi...

متن کامل

Visual Tracking of Self-occluding Articulated Objects Contents 1 Introduction 1 2 a Framework for Tracking Self-occluding Objects 2

Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates t...

متن کامل

Visual Tracking of Self-Occluding Articulated Objects

Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates t...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004